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Workshop

Heavy Tails in ML: Structure, Stability, Dynamics

Mert Gurbuzbalaban ⋅ Stefanie Jegelka ⋅ Michael Mahoney ⋅ Umut Simsekli
2023 Workshop
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Abstract

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Schedule

Timezone: America/Los_Angeles
7:00 AM
Opening Remarks
8:00 AM
Coffee break
10:00 AM
Lunch break
1:05 PM
Coffee break
2:10 PM
Poster session
3:29 PM
Closing remarks
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection
Burhan Yaman ⋅ Tanvir Mahmud ⋅ Chun-Hao Liu
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
Nilesh Tripuraneni ⋅ Dominique Perrault-Joncas ⋅ Dhruv Madeka ⋅ Dean Foster ⋅ Michael Jordan
The Effects of Ensembling on Long-Tailed Data
Estefany Kelly Buchanan ⋅ Geoff Pleiss ⋅ John Cunningham
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Urte Adomaityte ⋅ Leonardo Defilippis ⋅ Bruno Loureiro ⋅ Gabriele Sicuro
Associative Memories with Heavy-Tailed Data
Vivien Cabannes ⋅ Elvis Dohmatob ⋅ Alberto Bietti
Deep neural networks with dependent weights: \\Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee ⋅ Fadhel Ayed ⋅ Paul Jung ⋅ Juho Lee ⋅ Hongseok Yang ⋅ Francois Caron
Adaptive Gradient Methods at the Edge of Stability
Jeremy M Cohen ⋅ Behrooz Ghorbani ⋅ Shankar Krishnan ⋅ Naman Agarwal ⋅ Sourabh Medapati ⋅ Michal Badura ⋅ Daniel Suo ⋅ Zachary Nado ⋅ George Dahl ⋅ Justin Gilmer
On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning
Matteo Gamba ⋅ Arna Ghosh ⋅ Kumar Krishna Agrawal ⋅ Blake Richards ⋅ Hossein Azizpour ⋅ Mårten Björkman
Neural network compression with heavy-tailed SGD
Yijun Wan ⋅ Abdellatif Zaidi ⋅ Umut Simsekli
Representation Learning for Extremes
Ali Hasan ⋅ Yuting Ng ⋅ Jose Blanchet ⋅ Vahid Tarokh
Towards Fully Adaptive Regret Minimization in Heavy-Tailed Bandits
Gianmarco Genalti ⋅ Lupo Marsigli ⋅ Nicola Gatti ⋅ Alberto Maria Metelli
Robust gradient estimation in the presence of heavy-tailed noise
Fabian Schaipp ⋅ Umut Simsekli ⋅ Robert Gower
Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems ⋅ Manfred Opper ⋅ Guillaume Crevecoeur ⋅ Tolga Birdal
Revisiting the noise Model of SGD
Barak Battash ⋅ Ofir Lindenbaum