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Welcome remarks to Session 3
Mark Schmidt
Author Information
Mark Schmidt (University of British Columbia)
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2021 : Heavy-tailed noise does not explain the gap between SGD and Adam on Transformers »
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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 »
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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) »
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2020 : Intro to Invited Speaker 8 »
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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) »
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2020 : Live Q&A with Ashia Wilson (Zoom) »
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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