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2020 – today
- 2024
[j5]Panayotis Mertikopoulos
, Ya-Ping Hsieh, Volkan Cevher:
A unified stochastic approximation framework for learning in games. Math. Program. 203(1): 559-609 (2024)- [c20]Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause:
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm. AISTATS 2024: 4186-4194 - 2023
- [c19]Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause:
The Schrödinger Bridge between Gaussian Measures has a Closed Form. AISTATS 2023: 5802-5833 - [c18]Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos:
Riemannian stochastic optimization methods avoid strict saddle points. NeurIPS 2023 - [c17]Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause:
A Dynamical System View of Langevin-Based Non-Convex Sampling. NeurIPS 2023 - [c16]Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause:
Stochastic Approximation Algorithms for Systems of Interacting Particles. NeurIPS 2023 - [c15]Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne:
Aligned Diffusion Schrödinger Bridges. UAI 2023: 1985-1995 - [i18]Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne:
Aligned Diffusion Schrödinger Bridges. CoRR abs/2302.11419 (2023) - [i17]Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli:
Unbalanced Diffusion Schrödinger Bridge. CoRR abs/2306.09099 (2023) - [i16]Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause, Panayotis Mertikopoulos:
Riemannian stochastic optimization methods avoid strict saddle points. CoRR abs/2311.02374 (2023) - [i15]Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause:
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm. CoRR abs/2311.16706 (2023) - 2022
- [c14]Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause:
The Dynamics of Riemannian Robbins-Monro Algorithms. COLT 2022: 3503 - [i14]Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause:
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR abs/2202.05722 (2022) - [i13]Panayotis Mertikopoulos, Ya-Ping Hsieh, Volkan Cevher:
Learning in games from a stochastic approximation viewpoint. CoRR abs/2206.03922 (2022) - [i12]Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause:
The Dynamics of Riemannian Robbins-Monro Algorithms. CoRR abs/2206.06795 (2022) - [i11]Tatjana Chavdarova, Ya-Ping Hsieh, Michael I. Jordan:
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata. CoRR abs/2207.07105 (2022) - [i10]Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause:
A Dynamical System View of Langevin-Based Non-Convex Sampling. CoRR abs/2210.13867 (2022) - 2021
- [c13]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets. ICML 2021: 4337-4348 - 2020
- [c12]Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher:
Conditional gradient methods for stochastically constrained convex minimization. ICML 2020: 9775-9785 - [c11]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS 2020 - [i9]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR abs/2002.06063 (2020) - [i8]Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher:
The limits of min-max optimization algorithms: convergence to spurious non-critical sets. CoRR abs/2006.09065 (2020) - [i7]Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher:
Conditional gradient methods for stochastically constrained convex minimization. CoRR abs/2007.03795 (2020)
2010 – 2019
- 2019
- [c10]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML 2019: 2810-2819 - 2018
- [j4]Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher:
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66(22): 5917-5926 (2018) - [c9]Ya-Ping Hsieh, Volkan Cevher:
Dimension-free Information Concentration via Exp-Concavity. ALT 2018: 451-469 - [c8]Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher:
Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games. ICML 2018: 2493-2501 - [c7]Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher:
Mirrored Langevin Dynamics. NeurIPS 2018: 2883-2892 - [i6]Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher:
Let's be honest: An optimal no-regret framework for zero-sum games. CoRR abs/1802.04221 (2018) - [i5]Ya-Ping Hsieh, Volkan Cevher:
Dimension-free Information Concentration via Exp-Concavity. CoRR abs/1802.09301 (2018) - [i4]Ya-Ping Hsieh, Volkan Cevher:
Mirrored Langevin Dynamics. CoRR abs/1802.10174 (2018) - [i3]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR abs/1811.02002 (2018) - 2016
- [j3]David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher:
Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. 10(2): 296-311 (2016) - [c6]Nissim Zerbib, Yen-Huan Li, Ya-Ping Hsieh, Volkan Cevher:
Estimation error of the constrained lasso. Allerton 2016: 433-438 - [c5]Gergely Ódor, Yen-Huan Li, Alp Yurtsever, Ya-Ping Hsieh, Quoc Tran-Dinh, Marwa El Halabi, Volkan Cevher:
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval. ICASSP 2016: 6230-6234 - [c4]Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS 2016: 4493-4501 - [i2]Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR abs/1611.08574 (2016) - 2015
- [c3]Alp Yurtsever, Ya-Ping Hsieh, Volkan Cevher:
Scalable convex methods for phase retrieval. CAMSAP 2015: 381-384 - [c2]David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher:
Preconditioned Spectral Descent for Deep Learning. NIPS 2015: 2971-2979 - 2013
- [j2]Chuen-Ming Gee, Chien-Chih Tseng, Feng-Yu Wu, Hsin-Ping Chang, Lain-Jong Li, Ya-Ping Hsieh, Cheng-Te Lin, Jyh-Chen Chen:
Flexible transparent electrodes made of electrochemically exfoliated graphene sheets from low-cost graphite pieces. Displays 34(4): 315-319 (2013) - [j1]Ya-Ping Hsieh, Yen-Chi Lee, Po-Jen Shih, Ping-Cheng Yeh, Kwang-Cheng Chen:
On the asynchronous information embedding for event-driven systems in molecular communications. Nano Commun. Networks 4(1): 2-13 (2013) - [i1]Ya-Ping Hsieh, Ping-Cheng Yeh:
Mathematical Foundations for Information Theory in Diffusion-Based Molecular Communications. CoRR abs/1311.4431 (2013) - 2012
- [c1]Ya-Ping Hsieh, Po-Jen Shih, Yen-Chi Lee, Ping-Cheng Yeh, Kwang-Cheng Chen:
An asynchronous communication scheme for molecular communication. ICC 2012: 6177-6182
Coauthor Index
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