More from the Same Authors

• 2022 : Why (and When) does Local SGD Generalize Better than SGD? »
  Xinran Gu · Kaifeng Lyu · Longbo Huang · Sanjeev Arora
• 2022 : Uncertainty-Driven Exploration for Generalization in Reinforcement Learning »
  Yiding Jiang · J. Zico Kolter · Roberta Raileanu
• 2023 Poster: On the Importance of Exploration for Generalization in Reinforcement Learning »
  Yiding Jiang · J. Zico Kolter · Roberta Raileanu
• 2023 Poster: Permutation Equivariant Neural Functionals »
  Allan Zhou · Kaien Yang · Kaylee Burns · Adriano Cardace · Yiding Jiang · Samuel Sokota · J. Zico Kolter · Chelsea Finn
• 2023 Poster: Fine-Tuning Language Models with Just Forward Passes »
  Sadhika Malladi · Tianyu Gao · Eshaan Nichani · Alex Damian · Jason Lee · Danqi Chen · Sanjeev Arora
• 2023 Poster: Neural Functional Transformers »
  Allan Zhou · Kaien Yang · Yiding Jiang · Kaylee Burns · Winnie Xu · Samuel Sokota · J. Zico Kolter · Chelsea Finn
• 2023 Poster: Language Models are Weak Learners »
  Hariharan Manikandan · Yiding Jiang · J. Zico Kolter
• 2023 Oral: Fine-Tuning Language Models with Just Forward Passes »
  Sadhika Malladi · Tianyu Gao · Eshaan Nichani · Alex Damian · Jason Lee · Danqi Chen · Sanjeev Arora
• 2022 Poster: Learning Options via Compression »
  Yiding Jiang · Evan Liu · Benjamin Eysenbach · J. Zico Kolter · Chelsea Finn
• 2022 Poster: New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound »
  Arushi Gupta · Nikunj Saunshi · Dingli Yu · Kaifeng Lyu · Sanjeev Arora
• 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: Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction »
  Kaifeng Lyu · Zhiyuan Li · Sanjeev Arora
• 2022 Poster: Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift »
  Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter
• 2022 Poster: On the SDEs and Scaling Rules for Adaptive Gradient Algorithms »
  Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
• 2021 : Invited talk 2 »
  Sanjeev Arora
• 2021 Oral: Evaluating Gradient Inversion Attacks and Defenses in Federated Learning »
  Yangsibo Huang · Samyak Gupta · Zhao Song · Kai Li · Sanjeev Arora
• 2021 Poster: On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) »
  Zhiyuan Li · Sadhika Malladi · Sanjeev Arora
• 2021 Poster: Evaluating Gradient Inversion Attacks and Defenses in Federated Learning »
  Yangsibo Huang · Samyak Gupta · Zhao Song · Kai Li · Sanjeev Arora
• 2021 Poster: Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias »
  Kaifeng Lyu · Zhiyuan Li · Runzhe Wang · Sanjeev Arora
• 2020 : Closing remark (PGDL) »
  Yiding Jiang
• 2020 : Introduction to Runner up 2 (PGDL) »
  Yiding Jiang
• 2020 : Introduction to Runner up 1 (PGDL) »
  Yiding Jiang
• 2020 : Winning team presentation: On Representations and Generalization (PGDL) »
  Yiding Jiang · Parth Natekar · Manik Sharma
• 2020 : Introduction to winning team (PGDL) »
  Yiding Jiang
• 2020 : Predicting Generalization in Deep Learning (PGDL): Opening remark »
  Yiding Jiang
• 2020 Poster: Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate »
  Zhiyuan Li · Kaifeng Lyu · Sanjeev Arora
• 2020 Poster: Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality »
  Yi Zhang · Orestis Plevrakis · Simon Du · Xingguo Li · Zhao Song · Sanjeev Arora
• 2019 : Poster session »
  Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak
• 2019 Poster: Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets »
  Rohith Kuditipudi · Xiang Wang · Holden Lee · Yi Zhang · Zhiyuan Li · Wei Hu · Rong Ge · Sanjeev Arora
• 2019 Poster: Implicit Regularization in Deep Matrix Factorization »
  Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
• 2019 Spotlight: Implicit Regularization in Deep Matrix Factorization »
  Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo
• 2019 Poster: On Exact Computation with an Infinitely Wide Neural Net »
  Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
• 2019 Spotlight: On Exact Computation with an Infinitely Wide Neural Net »
  Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
• 2018 : Plenary Talk 1 »
  Sanjeev Arora
• 2017 Workshop: Deep Learning: Bridging Theory and Practice »
  Sanjeev Arora · Maithra Raghu · Russ Salakhutdinov · Ludwig Schmidt · Oriol Vinyals
• 2012 Poster: Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders »
  Sanjeev Arora · Rong Ge · Ankur Moitra · Sushant Sachdeva