More from the Same Authors

• 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