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Contributed Talk 1
Jason Lee
Author Information
Jason Lee (University of Southern California)
More from the Same Authors
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2022 : Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability »
Alex Damian · Eshaan Nichani · Jason Lee -
2022 Poster: Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials »
Eshaan Nichani · Yu Bai · Jason Lee -
2022 Poster: Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems »
Masatoshi Uehara · Ayush Sekhari · Jason Lee · Nathan Kallus · Wen Sun -
2022 Poster: Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent »
Zhiyuan Li · Tianhao Wang · Jason Lee · Sanjeev Arora -
2022 Poster: On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias »
Itay Safran · Gal Vardi · Jason Lee -
2022 Poster: From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent »
Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan -
2021 Poster: How Fine-Tuning Allows for Effective Meta-Learning »
Kurtland Chua · Qi Lei · Jason Lee -
2021 Poster: Label Noise SGD Provably Prefers Flat Global Minimizers »
Alex Damian · Tengyu Ma · Jason Lee -
2021 Poster: Going Beyond Linear RL: Sample Efficient Neural Function Approximation »
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang -
2021 Poster: Predicting What You Already Know Helps: Provable Self-Supervised Learning »
Jason Lee · Qi Lei · Nikunj Saunshi · JIACHENG ZHUO -
2021 Poster: Optimal Gradient-based Algorithms for Non-concave Bandit Optimization »
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang -
2018 Poster: Implicit Bias of Gradient Descent on Linear Convolutional Networks »
Suriya Gunasekar · Jason Lee · Daniel Soudry · Nati Srebro -
2018 Poster: Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced »
Simon Du · Wei Hu · Jason Lee -
2018 Poster: Adding One Neuron Can Eliminate All Bad Local Minima »
SHIYU LIANG · Ruoyu Sun · Jason Lee · R. Srikant -
2018 Poster: Provably Correct Automatic Sub-Differentiation for Qualified Programs »
Sham Kakade · Jason Lee -
2018 Poster: On the Convergence and Robustness of Training GANs with Regularized Optimal Transport »
Maziar Sanjabi · Jimmy Ba · Meisam Razaviyayn · Jason Lee -
2017 Poster: Gradient Descent Can Take Exponential Time to Escape Saddle Points »
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos -
2017 Spotlight: Gradient Descent Can Take Exponential Time to Escape Saddle Points »
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos -
2016 Oral: Matrix Completion has No Spurious Local Minimum »
Rong Ge · Jason Lee · Tengyu Ma -
2016 Poster: Matrix Completion has No Spurious Local Minimum »
Rong Ge · Jason Lee · Tengyu Ma -
2015 Poster: Evaluating the statistical significance of biclusters »
Jason D Lee · Yuekai Sun · Jonathan E Taylor -
2014 Poster: Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices »
Austin Benson · Jason D Lee · Bartek Rajwa · David F Gleich -
2014 Spotlight: Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices »
Austin Benson · Jason D Lee · Bartek Rajwa · David F Gleich -
2014 Poster: Exact Post Model Selection Inference for Marginal Screening »
Jason D Lee · Jonathan E Taylor -
2013 Poster: On model selection consistency of penalized M-estimators: a geometric theory »
Jason D Lee · Yuekai Sun · Jonathan E Taylor -
2013 Poster: Using multiple samples to learn mixture models »
Jason D Lee · Ran Gilad-Bachrach · Rich Caruana -
2013 Spotlight: Using multiple samples to learn mixture models »
Jason D Lee · Ran Gilad-Bachrach · Rich Caruana -
2012 Poster: Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form »
Jason D Lee · Yuekai Sun · Michael Saunders -
2010 Poster: Practical Large-Scale Optimization for Max-norm Regularization »
Jason D Lee · Benjamin Recht · Russ Salakhutdinov · Nati Srebro · Joel A Tropp