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37 Results
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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein |
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Poster
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Thu 14:00 |
Amortized Proximal Optimization Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse |
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Poster
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Wed 9:00 |
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison · Luke Metz · Jascha Sohl-Dickstein |
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Poster
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Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning Runze Liu · Fengshuo Bai · Yali Du · Yaodong Yang |
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Poster
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Wed 14:00 |
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs Andrea Tirinzoni · Aymen Al Marjani · Emilie Kaufmann |
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Poster
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Thu 9:00 |
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes · Marcos Treviso · Danish Pruthi · André Martins · Graham Neubig |
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Poster
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Tue 14:00 |
Learning Predictions for Algorithms with Predictions Misha Khodak · Maria-Florina Balcan · Ameet Talwalkar · Sergei Vassilvitskii |
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Poster
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Tue 9:00 |
Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina · Ioannis Anagnostides · Haipeng Luo · Chung-Wei Lee · Christian Kroer · Tuomas Sandholm |
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Affinity Workshop
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Meta Optimal Transport Brandon Amos · Samuel Cohen · Giulia Luise · Ievgen Redko |
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Workshop
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Sparse Bayesian Optimization Sulin Liu · Qing Feng · David Eriksson · Ben Letham · Eytan Bakshy |
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Workshop
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An optimal control perspective on diffusion-based generative modeling Julius Berner · Lorenz Richter · Karen Ullrich |
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Workshop
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Fri 9:00 |
ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm |