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ORCIDJ. Zico Kolter
Zico Kolter – Jeremy Z. Kolter
Person information
- affiliation: Carnegie Mellon University, PA, USA
- affiliation (former): MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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Books and Theses
- 2010
[b1]J. Zico Kolter:
Learning and control with inaccurate models. Stanford University, USA, 2010
Journal Articles
- 2023
- [j8]Zhili Feng, Ezra Winston, J. Zico Kolter:
Monotone deep Boltzmann machines. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Asher Trockman, J. Zico Kolter:
Patches Are All You Need? Trans. Mach. Learn. Res. 2023 (2023) - 2019
- [j6]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina
, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - 2016
- [j5]Milad Memarzadeh, Matteo Pozzi, J. Zico Kolter:
Hierarchical modeling of systems with similar components: A framework for adaptive monitoring and control. Reliab. Eng. Syst. Saf. 153: 159-169 (2016) - 2015
- [j4]Milad Memarzadeh, Matteo Pozzi, J. Zico Kolter:
Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms. J. Comput. Civ. Eng. 29(5) (2015) - 2011
- [j3]J. Zico Kolter, Andrew Y. Ng:
The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion. Int. J. Robotics Res. 30(2): 150-174 (2011) - 2007
- [j2]J. Zico Kolter, Marcus A. Maloof:
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts. J. Mach. Learn. Res. 8: 2755-2790 (2007) - 2006
- [j1]Jeremy Z. Kolter, Marcus A. Maloof:
Learning to Detect and Classify Malicious Executables in the Wild. J. Mach. Learn. Res. 7: 2721-2744 (2006)
Conference and Workshop Papers
- 2023
- [c143]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI 2023: 5764-5772 - [c142]Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. AAAI 2023: 9695-9703 - [c141]Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter:
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. AISTATS 2023: 11059-11078 - [c140]Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CVPR 2023: 8113-8122 - [c139]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR 2023: 19338-19347 - [c138]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP 2023: 9266-9286 - [c137]Filipe de Avila Belbute-Peres, J. Zico Kolter:
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. ICLR 2023 - [c136]Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! ICLR 2023 - [c135]Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer:
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR 2023 - [c134]Asher Trockman, Devin Willmott, J. Zico Kolter:
Understanding the Covariance Structure of Convolutional Filters. ICLR 2023 - [c133]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR 2023 - [c132]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR 2023 - [c131]Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? ICML 2023: 23536-23557 - [c130]Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown:
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML 2023: 32169-32193 - [c129]Asher Trockman, J. Zico Kolter:
Mimetic Initialization of Self-Attention Layers. ICML 2023: 34456-34468 - [c128]Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter:
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning. L4DC 2023: 625-638 - [c127]Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester:
Deep Off-Policy Iterative Learning Control. L4DC 2023: 639-652 - [c126]Zhengyang Geng, Ashwini Pokle, J. Zico Kolter:
One-Step Diffusion Distillation via Deep Equilibrium Models. NeurIPS 2023 - [c125]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS 2023 - [c124]Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. NeurIPS 2023 - [c123]Hariharan Manikandan, Yiding Jiang, J. Zico Kolter:
Language Models are Weak Learners. NeurIPS 2023 - [c122]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS 2023 - [c121]Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar:
Learning with Explanation Constraints. NeurIPS 2023 - [c120]Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. NeurIPS 2023 - [c119]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. NeurIPS 2023 - [c118]Rahul Venkatesh, Eric Wong, Zico Kolter:
Adversarial robustness in discontinuous spaces via alternating sampling & descent. WACV 2023: 4651-4660 - 2022
- [c117]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CVPR 2022: 610-620 - [c116]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. ECCV (35) 2022: 52-68 - [c115]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Neural Deep Equilibrium Solvers. ICLR 2022 - [c114]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. ICLR 2022 - [c113]Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown:
A Fine-Tuning Approach to Belief State Modeling. ICLR 2022 - [c112]Colin Wei, J. Zico Kolter:
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. ICLR 2022 - [c111]Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster:
Communicating via Markov Decision Processes. ICML 2022: 20314-20328 - [c110]Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML 2022: 26591-26604 - [c109]Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse:
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS 2022 - [c108]Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter:
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. NeurIPS 2022 - [c107]Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter:
Test Time Adaptation via Conjugate Pseudo-labels. NeurIPS 2022 - [c106]Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn:
Learning Options via Compression. NeurIPS 2022 - [c105]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. NeurIPS 2022 - [c104]Gaurav Manek, J. Zico Kolter:
The Pitfalls of Regularization in Off-Policy TD Learning. NeurIPS 2022 - [c103]Ashwini Pokle, Zhengyang Geng, J. Zico Kolter:
Deep Equilibrium Approaches to Diffusion Models. NeurIPS 2022 - [c102]Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh:
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. NeurIPS 2022 - [c101]Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS 2022 - 2021
- [c100]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. AISTATS 2021: 1216-1224 - [c99]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models Against Single-Source Adversaries. CVPR 2021: 3340-3349 - [c98]Leonid Boytsov, Zico Kolter:
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. ECIR (1) 2021: 63-78 - [c97]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy 2021: 199-210 - [c96]Joshua Williams, J. Zico Kolter:
A Bayesian Model of Cash Bail Decisions. FAccT 2021: 827-837 - [c95]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. ICLR 2021 - [c94]Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. ICLR 2021 - [c93]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. ICLR 2021 - [c92]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. ICLR 2021 - [c91]Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Multiplicative Filter Networks. ICLR 2021 - [c90]Chirag Pabbaraju, Ezra Winston, J. Zico Kolter:
Estimating Lipschitz constants of monotone deep equilibrium models. ICLR 2021 - [c89]Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter:
Provably robust classification of adversarial examples with detection. ICLR 2021 - [c88]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. ICLR 2021 - [c87]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. ICML 2021: 554-565 - [c86]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. ICML 2021: 3598-3609 - [c85]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. ICML 2021: 3610-3619 - [c84]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. ICML 2021: 12345-12355 - [c83]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. KDD 2021: 1461-1469 - [c82]Zhichun Huang, Shaojie Bai, J. Zico Kolter:
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations. NeurIPS 2021: 9639-9650 - [c81]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. NeurIPS 2021: 16818-16832 - [c80]Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter:
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS 2021: 18698-18709 - [c79]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. NeurIPS 2021: 21860-21871 - [c78]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. NeurIPS 2021: 22745-22757 - [c77]Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter:
Robustness between the worst and average case. NeurIPS 2021: 27840-27851 - [c76]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially robust learning for security-constrained optimal power flow. NeurIPS 2021: 28677-28689 - [c75]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS 2021: 29909-29921 - 2020
- [c74]Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. AISTATS 2020: 4130-4140 - [c73]Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli:
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR 2020 - [c72]Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter:
Differentiable learning of numerical rules in knowledge graphs. ICLR 2020 - [c71]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. ICLR 2020 - [c70]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. ICML 2020: 2402-2411 - [c69]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. ICML 2020: 6640-6650 - [c68]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. ICML 2020: 8093-8104 - [c67]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML 2020: 8230-8241 - [c66]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. IV 2020: 1753-1758 - [c65]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. NeurIPS 2020 - [c64]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. NeurIPS 2020 - [c63]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. NeurIPS 2020 - [c62]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS 2020 - [c61]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming . NeurIPS 2020 - [c60]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. NeurIPS 2020 - 2019
- [c59]Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. AAAI 2019: 1641-1649 - [c58]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI 2019: 6104-6111 - [c57]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. ACL (1) 2019: 6558-6569 - [c56]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS 2019: 1370-1378 - [c55]Henning Lange, Mario Bergés, J. Zico Kolter:
Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. ICASSP 2019: 8340-8344 - [c54]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. ICLR (Poster) 2019 - [c53]Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. ICLR (Poster) 2019 - [c52]Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. ICML 2019: 1310-1320 - [c51]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. ICML 2019: 3896-3904 - [c50]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. ICML 2019: 6545-6554 - [c49]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. ICML 2019: 6808-6817 - [c48]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. NeurIPS 2019: 688-699 - [c47]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570 - [c46]J. Zico Kolter, Gaurav Manek:
Learning Stable Deep Dynamics Models. NeurIPS 2019: 11126-11134 - [c45]Vaishnavh Nagarajan, J. Zico Kolter:
Uniform convergence may be unable to explain generalization in deep learning. NeurIPS 2019: 11611-11622 - [c44]Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze:
Adversarial Music: Real world Audio Adversary against Wake-word Detection System. NeurIPS 2019: 11908-11918 - 2018
- [c43]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Convolutional Sequence Modeling Revisited. ICLR (Workshop) 2018 - [c42]Eric Wong, J. Zico Kolter:
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope. ICML 2018: 5283-5292 - [c41]Chun Kai Ling, Fei Fang, J. Zico Kolter:
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. IJCAI 2018: 396-402 - [c40]Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter:
End-to-End Differentiable Physics for Learning and Control. NeurIPS 2018: 7178-7189 - [c39]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. NeurIPS 2018: 8299-8310 - [c38]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. NeurIPS 2018: 8410-8419 - [c37]Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter:
Realtime Query Completion via Deep Language Models. eCOM@SIGIR 2018 - 2017
- [c36]Po-Wei Wang, Chun-Liang Li, J. Zico Kolter:
Polynomial Optimization Methods for Matrix Factorization. AAAI 2017: 2710-2717 - [c35]Alnur Ali, Eric Wong, J. Zico Kolter:
A Semismooth Newton Method for Fast, Generic Convex Programming. ICML 2017: 70-79 - [c34]Brandon Amos, J. Zico Kolter:
OptNet: Differentiable Optimization as a Layer in Neural Networks. ICML 2017: 136-145 - [c33]Brandon Amos, Lei Xu, J. Zico Kolter:
Input Convex Neural Networks. ICML 2017: 146-155 - [c32]Priya L. Donti, J. Zico Kolter, Brandon Amos:
Task-based End-to-end Model Learning in Stochastic Optimization. NIPS 2017: 5484-5494 - [c31]Vaishnavh Nagarajan, J. Zico Kolter:
Gradient descent GAN optimization is locally stable. NIPS 2017: 5585-5595 - 2016
- [c30]Po-Wei Wang, Matt Wytock, J. Zico Kolter:
Epigraph projections for fast general convex programming. ICML 2016: 2868-2877 - [c29]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
The Multiple Quantile Graphical Model. NIPS 2016: 3747-3755 - [c28]Xiao Zhang, Gabriela Hug, J. Zico Kolter, Iiro Harjunkoski:
Computational approaches for efficient scheduling of steel plants as demand response resource. PSCC 2016: 1-7 - 2015
- [c27]Kirstin Early, J. Zico Kolter:
An Additive Autoregressive Hidden Markov Model for Energy Disaggregation. AAAI Workshop: Computational Sustainability 2015 - [c26]Eric Wong, J. Zico Kolter:
An SVD and Derivative Kernel Approach to Learning from Geometric Data. AAAI 2015: 1889-1895 - [c25]Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd:
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI 2015: 62-71 - 2014
- [c24]Matt Wytock, J. Zico Kolter:
Contextually Supervised Source Separation with Application to Energy Disaggregation. AAAI 2014: 486-492 - [c23]Matt Wytock, Suvrit Sra, Jeremy Z. Kolter:
Fast Newton methods for the group fused lasso. UAI 2014: 888-897 - 2013
- [c22]Matt Wytock, J. Zico Kolter:
Large-scale probabilistic forecasting in energy systems using sparse Gaussian conditional random fields. CDC 2013: 1019-1024 - [c21]Matt Wytock, J. Zico Kolter:
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting. ICML (3) 2013: 1265-1273 - [c20]Emre Can Kara, J. Zico Kolter, Mario Berges, Bruce H. Krogh, Gabriela Hug, Tugçe Yüksel:
A moving horizon state estimator in the control of thermostatically controlled loads for demand response. SmartGridComm 2013: 253-258 - 2012
- [c19]J. Zico Kolter, Zachary Jackowski, Russ Tedrake:
Design, analysis, and learning control of a fully actuated micro wind turbine. ACC 2012: 2256-2263 - [c18]J. Zico Kolter, Tommi S. Jaakkola:
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation. AISTATS 2012: 1472-1482 - 2011
- [c17]J. Zico Kolter, Joseph Ferreira Jr.:
A Large-Scale Study on Predicting and Contextualizing Building Energy Usage. AAAI 2011: 1349-1356 - [c16]Jesse Levinson, Jake Askeland, Jan Becker, Jennifer Dolson, David Held, Sören Kammel, J. Zico Kolter, Dirk Langer, Oliver Pink, Vaughan R. Pratt, Michael Sokolsky, Ganymed Stanek, David Michael Stavens, Alex Teichman, Moritz Werling, Sebastian Thrun:
Towards fully autonomous driving: Systems and algorithms. Intelligent Vehicles Symposium 2011: 163-168 - [c15]J. Zico Kolter:
The Fixed Points of Off-Policy TD. NIPS 2011: 2169-2177 - 2010
- [c14]J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun:
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving. ICRA 2010: 839-845 - [c13]J. Zico Kolter, Siddharth Batra, Andrew Y. Ng:
Energy Disaggregation via Discriminative Sparse Coding. NIPS 2010: 1153-1161 - 2009
- [c12]J. Zico Kolter, Andrew Y. Ng:
Near-Bayesian exploration in polynomial time. ICML 2009: 513-520 - [c11]J. Zico Kolter, Andrew Y. Ng:
Regularization and feature selection in least-squares temporal difference learning. ICML 2009: 521-528 - [c10]J. Zico Kolter, Youngjun Kim, Andrew Y. Ng:
Stereo vision and terrain modeling for quadruped robots. ICRA 2009: 1557-1564 - [c9]J. Zico Kolter, Andrew Y. Ng:
Task-space trajectories via cubic spline optimization. ICRA 2009: 1675-1682 - [c8]J. Zico Kolter, Andrew Y. Ng:
Policy search via the signed derivative. Robotics: Science and Systems 2009 - 2008
- [c7]J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway:
Space-indexed dynamic programming: learning to follow trajectories. ICML 2008: 488-495 - [c6]J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng:
A control architecture for quadruped locomotion over rough terrain. ICRA 2008: 811-818 - 2007
- [c5]J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng:
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion. NIPS 2007: 769-776 - [c4]J. Zico Kolter, Andrew Y. Ng:
Learning omnidirectional path following using dimensionality reduction. Robotics: Science and Systems 2007 - 2005
- [c3]Jeremy Z. Kolter, Marcus A. Maloof:
Using additive expert ensembles to cope with concept drift. ICML 2005: 449-456 - 2004
- [c2]Jeremy Z. Kolter, Marcus A. Maloof:
Learning to detect malicious executables in the wild. KDD 2004: 470-478 - 2003
- [c1]Jeremy Z. Kolter, Marcus A. Maloof:
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. ICDM 2003: 123-130
Informal and Other Publications
- 2024
- [i137]Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter:
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR abs/2401.06121 (2024) - [i136]Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter:
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR abs/2401.06890 (2024) - [i135]Zhengyang Geng, Ashwini Pokle, J. Zico Kolter:
One-Step Diffusion Distillation via Deep Equilibrium Models. CoRR abs/2401.08639 (2024) - [i134]Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter:
Bayesian Neural Networks with Domain Knowledge Priors. CoRR abs/2402.13410 (2024) - [i133]Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu:
Massive Activations in Large Language Models. CoRR abs/2402.17762 (2024) - [i132]Victor Akinwande, J. Zico Kolter:
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs. CoRR abs/2403.03772 (2024) - [i131]Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR abs/2403.03896 (2024) - [i130]Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - 2023
- [i129]Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown:
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR abs/2301.09159 (2023) - [i128]Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. CoRR abs/2302.01404 (2023) - [i127]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i126]Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CoRR abs/2303.00215 (2023) - [i125]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR abs/2303.07320 (2023) - [i124]Mukul Bhutani, J. Zico Kolter:
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport. CoRR abs/2303.07675 (2023) - [i123]Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar:
Learning with Explanation Constraints. CoRR abs/2303.14496 (2023) - [i122]Paul Vicol, Zico Kolter, Kevin Swersky:
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single. CoRR abs/2304.11153 (2023) - [i121]Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown:
The Update Equivalence Framework for Decision-Time Planning. CoRR abs/2304.13138 (2023) - [i120]Asher Trockman, J. Zico Kolter:
Mimetic Initialization of Self-Attention Layers. CoRR abs/2305.09828 (2023) - [i119]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. CoRR abs/2305.13546 (2023) - [i118]Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR abs/2306.00788 (2023) - [i117]Yiding Jiang, Christina Baek, J. Zico Kolter:
On the Joint Interaction of Models, Data, and Features. CoRR abs/2306.04793 (2023) - [i116]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR abs/2306.05483 (2023) - [i115]Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter:
A Simple and Effective Pruning Approach for Large Language Models. CoRR abs/2306.11695 (2023) - [i114]Hariharan Manikandan, Yiding Jiang, J. Zico Kolter:
Language models are weak learners. CoRR abs/2306.14101 (2023) - [i113]Yutong He, Ruslan Salakhutdinov, J. Zico Kolter:
Localized Text-to-Image Generation for Free via Cross Attention Control. CoRR abs/2306.14636 (2023) - [i112]Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR abs/2307.03132 (2023) - [i111]Zhili Feng, Anna Bair, J. Zico Kolter:
Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. CoRR abs/2307.04317 (2023) - [i110]Zhili Feng, Ezra Winston, J. Zico Kolter:
Monotone deep Boltzmann machines. CoRR abs/2307.04990 (2023) - [i109]Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan:
Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR abs/2307.05486 (2023) - [i108]Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? CoRR abs/2307.09542 (2023) - [i107]Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson:
Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR abs/2307.15043 (2023) - [i106]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i105]Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter:
Understanding prompt engineering may not require rethinking generalization. CoRR abs/2310.03957 (2023) - [i104]Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, Zico Kolter:
Reliable Test-Time Adaptation via Agreement-on-the-Line. CoRR abs/2310.04941 (2023) - [i103]Zhili Feng, J. Zico Kolter:
On the Neural Tangent Kernel of Equilibrium Models. CoRR abs/2310.14062 (2023) - [i102]Zhengyang Geng, J. Zico Kolter:
TorchDEQ: A Library for Deep Equilibrium Models. CoRR abs/2310.18605 (2023) - [i101]Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter:
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR abs/2311.14885 (2023) - [i100]Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon:
Manifold Preserving Guided Diffusion. CoRR abs/2311.16424 (2023) - [i99]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR abs/2312.00234 (2023) - [i98]Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter:
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR abs/2312.17411 (2023) - 2022
- [i97]Asher Trockman, J. Zico Kolter:
Patches Are All You Need? CoRR abs/2201.09792 (2022) - [i96]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR abs/2201.12293 (2022) - [i95]Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester:
Dojo: A Differentiable Simulator for Robotics. CoRR abs/2203.00806 (2022) - [i94]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CoRR abs/2204.08442 (2022) - [i93]Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde:
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR abs/2205.06154 (2022) - [i92]Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer:
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR abs/2206.05825 (2022) - [i91]Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! CoRR abs/2206.10550 (2022) - [i90]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models against Single-Source Adversaries. CoRR abs/2206.12714 (2022) - [i89]Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter:
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift. CoRR abs/2206.13089 (2022) - [i88]Sachin Goyal, Mingjie Sun, Aditi Raghunathan, Zico Kolter:
Test-Time Adaptation via Conjugate Pseudo-labels. CoRR abs/2207.09640 (2022) - [i87]Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR abs/2208.05740 (2022) - [i86]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. CoRR abs/2209.00638 (2022) - [i85]Asher Trockman, Devin Willmott, J. Zico Kolter:
Understanding the Covariance Structure of Convolutional Filters. CoRR abs/2210.03651 (2022) - [i84]Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh:
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR abs/2210.07394 (2022) - [i83]Ashwini Pokle, Zhengyang Geng, Zico Kolter:
Deep Equilibrium Approaches to Diffusion Models. CoRR abs/2210.12867 (2022) - [i82]Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter:
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. CoRR abs/2210.14410 (2022) - [i81]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob N. Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. CoRR abs/2210.14889 (2022) - [i80]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. CoRR abs/2210.15031 (2022) - [i79]Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse:
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR abs/2211.09961 (2022) - [i78]Filipe de Avila Belbute-Peres, J. Zico Kolter:
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. CoRR abs/2211.14503 (2022) - [i77]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR abs/2212.00638 (2022) - [i76]Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn:
Learning Options via Compression. CoRR abs/2212.04590 (2022) - [i75]Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. CoRR abs/2212.06921 (2022) - [i74]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR abs/2212.14431 (2022) - 2021
- [i73]Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. CoRR abs/2102.00029 (2021) - [i72]Leonid Boytsov, Zico Kolter:
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. CoRR abs/2102.06815 (2021) - [i71]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR abs/2102.10264 (2021) - [i70]Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. CoRR abs/2103.00065 (2021) - [i69]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR abs/2103.06624 (2021) - [i68]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. CoRR abs/2104.07167 (2021) - [i67]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. CoRR abs/2104.12225 (2021) - [i66]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. CoRR abs/2105.00303 (2021) - [i65]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i64]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. CoRR abs/2106.06142 (2021) - [i63]Shaoru Chen, Eric Wong, J. Zico Kolter, Mahyar Fazlyab:
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting. CoRR abs/2106.09117 (2021) - [i62]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. CoRR abs/2106.13799 (2021) - [i61]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. CoRR abs/2106.14342 (2021) - [i60]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. CoRR abs/2110.13948 (2021) - [i59]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. CoRR abs/2111.01395 (2021) - [i58]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR abs/2111.06961 (2021) - [i57]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. CoRR abs/2111.13236 (2021) - 2020
- [i56]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. CoRR abs/2001.03994 (2020) - [i55]Gaurav Manek, J. Zico Kolter:
Learning Stable Deep Dynamics Models. CoRR abs/2001.06116 (2020) - [i54]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR abs/2002.03018 (2020) - [i53]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. CoRR abs/2002.11569 (2020) - [i52]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR abs/2003.01908 (2020) - [i51]Filipe Condessa, J. Zico Kolter:
Provably robust deep generative models. CoRR abs/2004.10608 (2020) - [i50]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. CoRR abs/2006.08591 (2020) - [i49]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. CoRR abs/2006.08656 (2020) - [i48]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. CoRR abs/2007.00147 (2020) - [i47]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. CoRR abs/2007.03574 (2020) - [i46]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. CoRR abs/2007.04439 (2020) - [i45]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. CoRR abs/2007.07210 (2020) - [i44]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. CoRR abs/2007.08450 (2020) - [i43]Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants:
A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR abs/2008.05994 (2020) - [i42]Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter:
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks. CoRR abs/2010.04205 (2020) - [i41]Mingjie Sun, Siddhant Agarwal, J. Zico Kolter:
Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR abs/2010.09080 (2020) - [i40]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. CoRR abs/2011.08105 (2020) - [i39]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. CoRR abs/2012.02661 (2020) - [i38]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming. CoRR abs/2012.02676 (2020) - [i37]Jonathan Dinu, Jeffrey P. Bigham, J. Zico Kolter:
Challenging common interpretability assumptions in feature attribution explanations. CoRR abs/2012.02748 (2020) - [i36]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. CoRR abs/2012.03137 (2020) - 2019
- [i35]Vaishnavh Nagarajan, J. Zico Kolter:
Generalization in Deep Networks: The Role of Distance from Initialization. CoRR abs/1901.01672 (2019) - [i34]Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. CoRR abs/1902.02918 (2019) - [i33]Vaishnavh Nagarajan, J. Zico Kolter:
Uniform convergence may be unable to explain generalization in deep learning. CoRR abs/1902.04742 (2019) - [i32]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. CoRR abs/1902.07906 (2019) - [i31]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR abs/1903.04101 (2019) - [i30]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. CoRR abs/1904.00759 (2019) - [i29]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. CoRR abs/1905.12149 (2019) - [i28]Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. CoRR abs/1905.13344 (2019) - [i27]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. CoRR abs/1906.00295 (2019) - [i26]Joseph Szurley, J. Zico Kolter:
Perceptual Based Adversarial Audio Attacks. CoRR abs/1906.06355 (2019) - [i25]Brandon Amos, Vladlen Koltun, J. Zico Kolter:
The Limited Multi-Label Projection Layer. CoRR abs/1906.08707 (2019) - [i24]Mark Lee, J. Zico Kolter:
On Physical Adversarial Patches for Object Detection. CoRR abs/1906.11897 (2019) - [i23]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. CoRR abs/1909.01377 (2019) - [i22]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. CoRR abs/1909.04068 (2019) - [i21]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Black-box Adversarial Attacks with Bayesian Optimization. CoRR abs/1909.13857 (2019) - [i20]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. CoRR abs/1910.12430 (2019) - [i19]Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. CoRR abs/1911.00126 (2019) - [i18]Joshua Williams, J. Zico Kolter:
Dynamic Modeling and Equilibria in Fair Decision Making. CoRR abs/1911.06837 (2019) - [i17]Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. CoRR abs/1912.00965 (2019) - 2018
- [i16]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. CoRR abs/1803.01271 (2018) - [i15]Chun Kai Ling, Fei Fang, J. Zico Kolter:
What game are we playing? End-to-end learning in normal and extensive form games. CoRR abs/1805.02777 (2018) - [i14]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. CoRR abs/1805.12514 (2018) - [i13]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. CoRR abs/1810.06682 (2018) - [i12]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. CoRR abs/1810.10082 (2018) - [i11]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. CoRR abs/1810.13400 (2018) - [i10]Po-Wei Wang, J. Zico Kolter:
Low-rank semidefinite programming for the MAX2SAT problem. CoRR abs/1812.06362 (2018) - 2017
- [i9]Brandon Amos, J. Zico Kolter:
OptNet: Differentiable Optimization as a Layer in Neural Networks. CoRR abs/1703.00443 (2017) - [i8]Priya L. Donti, Brandon Amos, J. Zico Kolter:
Task-based End-to-end Model Learning. CoRR abs/1703.04529 (2017) - [i7]Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter:
The Mixing method: coordinate descent for low-rank semidefinite programming. CoRR abs/1706.00476 (2017) - [i6]Vaishnavh Nagarajan, J. Zico Kolter:
Gradient descent GAN optimization is locally stable. CoRR abs/1706.04156 (2017) - [i5]Umang Bhatt, Shouvik Mani, Edgar Xi, J. Zico Kolter:
Intelligent Pothole Detection and Road Condition Assessment. CoRR abs/1710.02595 (2017) - [i4]J. Zico Kolter, Eric Wong:
Provable defenses against adversarial examples via the convex outer adversarial polytope. CoRR abs/1711.00851 (2017) - 2016
- [i3]Brandon Amos, Lei Xu, J. Zico Kolter:
Input Convex Neural Networks. CoRR abs/1609.07152 (2016) - 2013
- [i2]Matt Wytock, J. Zico Kolter:
A Fast Algorithm for Sparse Controller Design. CoRR abs/1312.4892 (2013) - [i1]Matt Wytock, J. Zico Kolter:
Contextually Supervised Source Separation with Application to Energy Disaggregation. CoRR abs/1312.5023 (2013)
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