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76 Results
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Spotlight
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Wed 7:20 |
Triple descent and the two kinds of overfitting: where & why do they appear? Stéphane d'Ascoli · Levent Sagun · Giulio Biroli |
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Poster
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Wed 9:00 |
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal |
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Workshop
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Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms Quentin Bouniot |
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Poster
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Mon 21:00 |
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection Qijian Zhang · Runmin Cong · Junhui Hou · Chongyi Li · Yao Zhao |
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Poster
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Mon 21:00 |
Reinforcement Learning for Control with Multiple Frequencies Jongmin Lee · Byung-Jun Lee · Kee-Eung Kim |
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Poster
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Wed 9:00 |
An analytic theory of shallow networks dynamics for hinge loss classification Franco Pellegrini · Giulio Biroli |
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Poster
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Thu 9:00 |
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner |
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Poster
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Mon 21:00 |
Rankmax: An Adaptive Projection Alternative to the Softmax Function Weiwei Kong · Walid Krichene · Nicolas E Mayoraz · Steffen Rendle · Li Zhang |
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Poster
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Thu 9:00 |
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown · Anton Bakhtin · Adam Lerer · Qucheng Gong |
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Poster
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Mon 21:00 |
Independent Policy Gradient Methods for Competitive Reinforcement Learning Constantinos Daskalakis · Dylan Foster · Noah Golowich |
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Poster
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Tue 21:00 |
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik |
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Workshop
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Sat 4:45 |
I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning Jessica Forde · Francisco Ruiz · Melanie Fernandez Pradier · Aaron Schein · Finale Doshi-Velez · Isabel Valera · David Blei · Hanna Wallach |