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Invited talk 2
Sanjeev Arora
Tue Dec 14 07:40 AM -- 08:10 AM (PST) @
Author Information
Sanjeev Arora (Princeton University)
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2022 : Why (and When) does Local SGD Generalize Better than SGD? »
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2023 Poster: Fine-Tuning Language Models with Just Forward Passes »
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2023 Oral: Fine-Tuning Language Models with Just Forward Passes »
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2022 Poster: New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound »
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2022 Poster: Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction »
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2022 Poster: On the SDEs and Scaling Rules for Adaptive Gradient Algorithms »
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2021 Oral: Evaluating Gradient Inversion Attacks and Defenses in Federated Learning »
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2021 Poster: On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) »
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2021 Poster: Evaluating Gradient Inversion Attacks and Defenses in Federated Learning »
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2021 Poster: Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias »
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2020 : Keynote speech: Sanjeev Arora (PGDL) »
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2020 Poster: Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate »
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2020 Poster: Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality »
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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 »
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2019 Poster: Implicit Regularization in Deep Matrix Factorization »
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2019 Spotlight: Implicit Regularization in Deep Matrix Factorization »
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2019 Poster: On Exact Computation with an Infinitely Wide Neural Net »
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2019 Spotlight: On Exact Computation with an Infinitely Wide Neural Net »
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2018 : Plenary Talk 1 »
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2017 Workshop: Deep Learning: Bridging Theory and Practice »
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2012 Poster: Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders »
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