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Oral
Tue 22:00 What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov, Sharad Vikram, Matthew Hoffman, Andrew Wilson
Spotlight
Tue 22:25 Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi, Alon Brutzkus, Amir Globerson
Spotlight
Tue 22:35 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian Ober, Laurence Aitchison
Poster
Wed 1:00 Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi, Alon Brutzkus, Amir Globerson
Poster
Wed 1:00 What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov, Sharad Vikram, Matthew Hoffman, Andrew Wilson
Poster
Wed 1:00 Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian Ober, Laurence Aitchison
Oral
Wed 21:00 On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
Oral
Wed 23:00 On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake Woodworth, Nati Srebro, Amir Globerson, Daniel Soudry
Poster
Thu 1:00 On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake Woodworth, Nati Srebro, Amir Globerson, Daniel Soudry
Poster
Thu 1:00 On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
Oral
Wed 18:00 Discriminative Complementary-Label Learning with Weighted Loss
Yi Gao, Min-Ling Zhang
Poster
Wed 21:00 Discriminative Complementary-Label Learning with Weighted Loss
Yi Gao, Min-Ling Zhang
Spotlight
Thu 6:25 Learning to Generate Noise for Multi-Attack Robustness
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Oral
Thu 7:00 DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
Oral
Thu 7:00 Annealed Flow Transport Monte Carlo
Michael Arbel, Alexander Matthews, Arnaud Doucet
Spotlight
Thu 7:35 Adversarial Purification with Score-based Generative Models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
Poster
Thu 9:00 Annealed Flow Transport Monte Carlo
Michael Arbel, Alexander Matthews, Arnaud Doucet
Poster
Thu 9:00 DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
Poster
Thu 9:00 Learning to Generate Noise for Multi-Attack Robustness
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Poster
Thu 9:00 Adversarial Purification with Score-based Generative Models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
Spotlight
Thu 20:35 Optimal Thompson Sampling strategies for support-aware CVaR bandits
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard
Poster
Thu 21:00 Optimal Thompson Sampling strategies for support-aware CVaR bandits
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard