More from the Same Authors

• 2021 : Heavy-tailed noise does not explain the gap between SGD and Adam on Transformers »
  Jacques Chen · Frederik Kunstner · Mark Schmidt
• 2021 : Heavy-tailed noise does not explain the gap between SGD and Adam on Transformers »
  Jacques Chen · Frederik Kunstner · Mark Schmidt
• 2021 : Faster Quasi-Newton Methods for Linear Composition Problems »
  Betty Shea · Mark Schmidt
• 2021 : A Closer Look at Gradient Estimators with Reinforcement Learning as Inference »
  Jonathan Lavington · Michael Teng · Mark Schmidt · Frank Wood
• 2021 : An Empirical Study of Non-Uniform Sampling in Off-Policy Reinforcement Learning for Continuous Control »
  Nicholas Ioannidis · Jonathan Lavington · Mark Schmidt
• 2022 : Target-based Surrogates for Stochastic Optimization »
  Jonathan Lavington · Sharan Vaswani · Reza Babanezhad Harikandeh · Mark Schmidt · Nicolas Le Roux
• 2022 : Fast Convergence of Greedy 2-Coordinate Updates for Optimizing with an Equality Constraint »
  Amrutha Varshini Ramesh · Aaron Mishkin · Mark Schmidt
• 2022 : Fast Convergence of Random Reshuffling under Interpolation and the Polyak-Łojasiewicz Condition »
  Chen Fan · Christos Thrampoulidis · Mark Schmidt
• 2022 : Practical Structured Riemannian Optimization with Momentum by using Generalized Normal Coordinates »
  Wu Lin · Valentin Duruisseaux · Melvin Leok · Frank Nielsen · Mohammad Emtiyaz Khan · Mark Schmidt
• 2023 Poster: Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking »
  Frederik Kunstner · Victor Sanches Portella · Mark Schmidt · Nicholas Harvey
• 2023 Poster: Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models »
  Leonardo Galli · Holger Rauhut · Mark Schmidt
• 2023 Poster: BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization »
  Chen Fan · Gaspard Choné-Ducasse · Mark Schmidt · Christos Thrampoulidis
• 2020 : Closing remarks »
  Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac
• 2020 : Live Q&A with Michael Friedlander (Zoom) »
  Mark Schmidt
• 2020 : Contributed talks in Session 3 (Zoom) »
  Mark Schmidt · Zhan Gao · Wenjie Li · Preetum Nakkiran · Denny Wu · Chengrun Yang
• 2020 : Live Q&A with Rachel Ward (Zoom) »
  Mark Schmidt
• 2020 : Live Q&A with Ashia Wilson (Zoom) »
  Mark Schmidt
• 2020 : Welcome remarks to Session 3 »
  Mark Schmidt
• 2020 Workshop: OPT2020: Optimization for Machine Learning »
  Courtney Paquette · Mark Schmidt · Sebastian Stich · Quanquan Gu · Martin Takac
• 2020 : Welcome event (gather.town) »
  Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac
• 2020 Poster: Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses »
  Yihan Zhou · Victor Sanches Portella · Mark Schmidt · Nicholas Harvey
• 2019 Poster: Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates »
  Sharan Vaswani · Aaron Mishkin · Issam Laradji · Mark Schmidt · Gauthier Gidel · Simon Lacoste-Julien
• 2018 Poster: SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient »
  Aaron Mishkin · Frederik Kunstner · Didrik Nielsen · Mark Schmidt · Mohammad Emtiyaz Khan
• 2016 : Fast Patch-based Style Transfer of Arbitrary Style »
  Tian Qi Chen · Mark Schmidt
• 2015 Poster: StopWasting My Gradients: Practical SVRG »
  Reza Babanezhad Harikandeh · Mohamed Osama Ahmed · Alim Virani · Mark Schmidt · Jakub Konečný · Scott Sallinen