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Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli · Lingjiong Zhu · Yee-Whye Teh · Mert Gurbuzbalaban
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Graph Random Neural Features for Distance-Preserving Graph Representations
Daniele Zambon · Cesare Alippi · Lorenzo Livi
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
Hien Le · Nicolas Gillis · Panagiotis Patrinos
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans · Volodimir Begy · Gilles Louppe
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
StochasticRank: Global Optimization of Scale-Free Discrete Functions
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore · Csaba Szepesvari · Gellért Weisz
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni · Riccardo Poiani · Marcello Restelli
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Online Convex Optimization in the Random Order Model
Dan Garber · Gal Korcia · Kfir Levy
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Growing Action Spaces
Gregory Farquhar · Laura Gustafson · Zeming Lin · Shimon Whiteson · Nicolas Usunier · Gabriel Synnaeve
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT) @ Virtual
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
David Stutz · Matthias Hein · Bernt Schiele
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture
Francesca Mignacco · Florent Krzakala · Yue Lu · Pierfrancesco Urbani · Lenka Zdeborova
Poster
Tue Jul 14 01:00 PM -- 01:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle · Gintare Karolina Dziugaite · Daniel Roy · Michael Carbin
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Thompson Sampling via Local Uncertainty
Zhendong Wang · Mingyuan Zhou
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Poster
Tue Jul 14 02:00 PM -- 02:45 PM & Wed Jul 15 02:00 AM -- 02:45 AM (PDT)
Training Neural Networks for and by Interpolation
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar