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Poster
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Tue 14:00
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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
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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
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Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
Shicheng Liu · Minghui Zhu
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Poster
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Tue 9:00
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Dataset Distillation using Neural Feature Regression
Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba
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Poster
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Wed 9:00
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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
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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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Poster
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Thu 9:00
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Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates
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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
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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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Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
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