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54 Results
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Poster
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Tue 9:00 |
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems Shicheng Liu · Minghui Zhu |
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Poster
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Thu 9:00 |
Bidirectional Learning for Offline Infinite-width Model-based Optimization Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates |
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Poster
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Tue 14:00 |
Advancing Model Pruning via Bi-level Optimization Yihua Zhang · Yuguang Yao · Parikshit Ram · Pu Zhao · Tianlong Chen · Mingyi Hong · Yanzhi Wang · Sijia Liu |
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Poster
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Thu 14:00 |
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng · Olga Russakovsky |
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Poster
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Tue 9:00 |
Dataset Distillation using Neural Feature Regression Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba |
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Poster
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Wed 9:00 |
The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa |
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Poster
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Thu 14:00 |
Generalization for multiclass classification with overparameterized linear models Vignesh Subramanian · Rahul Arya · Anant Sahai |
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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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Workshop
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Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization Peter Schaldenbrand · Zhixuan Liu · Jean Oh |
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Poster
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Tue 14:00 |
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi |
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Workshop
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Neural Coarsening Process for Multi-level Graph Combinatorial Optimization Hyeonah Kim · Minsu Kim · Changhyun Kwon · Jinkyoo Park |
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Workshop
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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato |