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Workshop
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Model-Agnostic Meta-Learning with Open-Ended R
Aya Shabbar
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Poster
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Wed 16:30
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Causal-learn: Causal Discovery in Python
Yujia Zheng · Biwei Huang · Wei Chen · Joseph D Ramsey · Mingming Gong · Ruichu Cai · Shohei Shimizu · Peter Spirtes · Kun Zhang
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Workshop
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Sat 11:12
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Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo · Philippe Schwaller
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Workshop
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Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo · Philippe Schwaller
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Poster
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Thu 16:30
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Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
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Poster
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Wed 16:30
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The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims · Cong Lu · Jakob Foerster · Yee Whye Teh
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Poster
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Thu 16:30
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Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael Yao · Yimeng Zeng · Hamsa Bastani · Jacob Gardner · James Gee · Osbert Bastani
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Poster
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Multi-model Ensemble Conformal Prediction in Dynamic Environments
Erfan Hajihashemi · Yanning Shen
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Poster
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Wed 11:00
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Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun · Sujin Yun · Jaewoo Lee · Jinkyoo Park
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Poster
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Fri 11:00
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WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang · Darren Key · Kevin Ellis
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Poster
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Fri 11:00
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Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson · Isaac Kauvar · Nick Haber
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Poster
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Wed 11:00
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The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
Moritz Schneider · Robert Krug · Narunas Vaskevicius · Luigi Palmieri · Joschka Boedecker
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