Timezone: »
Plenary Talk 1
Sanjeev Arora
Author Information
Sanjeev Arora (Princeton University)
More from the Same Authors
-
2022 : Why (and When) does Local SGD Generalize Better than SGD? »
Xinran Gu · Kaifeng Lyu · Longbo Huang · Sanjeev Arora -
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 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: 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: 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 : Keynote speech: Sanjeev Arora (PGDL) »
Sanjeev Arora · 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 -
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