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Workshop
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Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
Minsu Kim · Federico Berto · Sungsoo Ahn · Jinkyoo Park
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Workshop
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Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning
Leo Benac · Sonali Parbhoo · Finale Doshi-Velez
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Workshop
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EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression
Alexander Tsvetkov · Alon Kipnis
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Poster
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Tue 17:00
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Bidirectional Learning for Offline Model-based Biological Sequence Design
Can Chen · Yingxue Zhang · Xue Liu · Mark Coates
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Workshop
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Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang · Yuxin Chen · Kevin Murphy
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Poster
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Tue 17:00
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Model-based Offline Reinforcement Learning with Count-based Conservatism
Byeongchan Kim · Min-hwan Oh
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
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Poster
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Thu 13:30
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Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen · Xiting Wang · Yiqiao Jin · Victor Ye Dong · Li Dong · Jie Cao · Yi Liu · Rui Yan
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li
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Poster
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Tue 17:00
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Diffusion Models for Black-Box Optimization
Siddarth Krishnamoorthy · Satvik Mehul Mashkaria · Aditya Grover
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Poster
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Wed 17:00
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Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones · Anca Dragan · Aditi Raghunathan · Jacob Steinhardt
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Poster
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Wed 14:00
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Differentially Private Optimization on Large Model at Small Cost
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
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