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ORCIDYifei Wang 0005
Person information
- unicode name: 汪祎非
- affiliation (PhD 2025): Stanford University, Department of Electrical Engineering, CA, USA
Other persons with the same name
- Yifei Wang (aka: Yi-fei Wang, Yi-Fei Wang) — disambiguation page
- Yifei Wang 0001
![[0000-0002-0688-6012]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0688-6012")
— Peking University, School of Mathematical Sciences, China - Yifei Wang 0002 — Brandeis University, Waltham, MA, USA
- Yifei Wang 0003 — University of Auckland, Auckland, New Zealand
- Yifei Wang 0004 — University of California at Berkeley, School of Information, Berkeley, CA, USA
- Yifei Wang 0006 — Central South University, Changsha, China
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2020 – today
- 2025
[j7]Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci:
Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions. IEEE Trans. Inf. Theory 71(3): 1926-1977 (2025)- 2024
- [j6]Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li:
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. SIAM J. Math. Data Sci. 6(4): 978-999 (2024) - [j5]Yifei Wang, Mert Pilanci:
Correction to: Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. 80(1): 1366 (2024) - [c6]Ertem Nusret Tas, David Tse, Yifei Wang:
A Circuit Approach to Constructing Blockchains on Blockchains. AFT 2024: 8:1-8:25 - [i14]Ertem Nusret Tas, David Tse, Yifei Wang:
A Circuit Approach to Constructing Blockchains on Blockchains. CoRR abs/2402.00220 (2024) - [i13]Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci:
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. CoRR abs/2403.01046 (2024) - [i12]Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci:
Randomized Geometric Algebra Methods for Convex Neural Networks. CoRR abs/2406.02806 (2024) - 2023
- [j4]Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM J. Optim. 33(3): 1361-1390 (2023) - [j3]Yifei Wang, Mert Pilanci:
Sketching the Krylov subspace: faster computation of the entire ridge regularization path. J. Supercomput. 79(16): 18748-18776 (2023) - [c5]Yifei Wang, Tolga Ergen, Mert Pilanci:
Parallel Deep Neural Networks Have Zero Duality Gap. ICLR 2023 - [i11]Yifei Wang, Mert Pilanci:
Polynomial-Time Solutions for ReLU Network Training: A Complexity Classification via Max-Cut and Zonotopes. CoRR abs/2311.10972 (2023) - 2022
- [j2]Yifei Wang, Peng Chen, Wuchen Li:
Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference. SIAM/ASA J. Uncertain. Quantification 10(4): 1513-1532 (2022) - [c4]Yifei Wang, Jonathan Lacotte, Mert Pilanci:
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions. ICLR 2022 - [c3]Yifei Wang, Mert Pilanci:
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. ICLR 2022 - [c2]Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS 2022 - [i10]Alex Leviyev, Joshua Chen, Yifei Wang, Omar Ghattas, Aaron Zimmerman:
A stochastic Stein Variational Newton method. CoRR abs/2204.09039 (2022) - [i9]Yifei Wang, Peng Chen, Mert Pilanci, Wuchen Li:
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization. CoRR abs/2205.13098 (2022) - [i8]Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci:
ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery. CoRR abs/2209.15265 (2022) - [i7]Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR abs/2211.01743 (2022) - 2021
- [j1]Yifei Wang, Zeyu Jia, Zaiwen Wen:
Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. 43(5): A3184-A3211 (2021) - [c1]Jonathan Lacotte, Yifei Wang, Mert Pilanci:
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. ICML 2021: 5926-5936 - [i6]Yifei Wang, Peng Chen, Wuchen Li:
Projected Wasserstein gradient descent for high-dimensional Bayesian inference. CoRR abs/2102.06350 (2021) - [i5]Jonathan Lacotte, Yifei Wang, Mert Pilanci:
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. CoRR abs/2105.07291 (2021) - [i4]Yifei Wang, Tolga Ergen, Mert Pilanci:
Parallel Deep Neural Networks Have Zero Duality Gap. CoRR abs/2110.06482 (2021) - [i3]Yifei Wang, Mert Pilanci:
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program. CoRR abs/2110.06488 (2021) - 2020
- [i2]Yifei Wang, Wuchen Li:
Information Newton's flow: second-order optimization method in probability space. CoRR abs/2001.04341 (2020)
2010 – 2019
- 2019
- [i1]Yifei Wang, Wuchen Li:
Accelerated Information Gradient flow. CoRR abs/1909.02102 (2019)
Coauthor Index
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