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12 Results
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Spotlight
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Thu 20:35 |
Optimal Thompson Sampling strategies for support-aware CVaR bandits Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard |
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Poster
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Thu 21:00 |
Optimal Thompson Sampling strategies for support-aware CVaR bandits Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard |
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Poster
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Wed 21:00 |
Discriminative Complementary-Label Learning with Weighted Loss Yi Gao · Min-Ling Zhang |
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Poster
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Tue 9:00 |
Towards Understanding Learning in Neural Networks with Linear Teachers Roei Sarussi · Alon Brutzkus · Amir Globerson |
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Poster
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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 |
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Oral
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Wed 18:00 |
Discriminative Complementary-Label Learning with Weighted Loss Yi Gao · Min-Ling Zhang |
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Poster
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Wed 9:00 |
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 |
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Oral
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Wed 7:00 |
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 |
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Spotlight
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Thu 6:25 |
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan · Jinwoo Shin · Sung Ju Hwang |
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Poster
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Thu 9:00 |
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan · Jinwoo Shin · Sung Ju Hwang |
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Spotlight
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Tue 6:25 |
Towards Understanding Learning in Neural Networks with Linear Teachers Roei Sarussi · Alon Brutzkus · Amir Globerson |
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Oral
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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 |