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360 Results
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Workshop
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Online Continual Learning from Imbalanced Data with Kullback-Leibler-loss based replay buffer updates Sotirios Nikoloutsopoulos · Iordanis Koutsopoulos · Michalis Titsias |
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Workshop
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Estimating Corporate Scope 1 Emissions Using Tree-Based Machine Learning Methods Elham Kheradmand · Maida Hadziosmanovic · Nazim Benguettat · H. Damon Matthews · Shannon M. Lloyd |
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Poster
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Tue 14:00 |
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry Cheongjae Jang · Sungyoon Lee · Frank Park · Yung-Kyun Noh |
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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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Wed 9:00 |
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning Yuko Ishiwaka · Xiao Zeng · Shun Ogawa · Donovan Westwater · Tadayuki Tone · Masaki Nakada |
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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 |
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery Andaç Demir · Baris Coskunuzer · Yulia Gel · Ignacio Segovia-Dominguez · Yuzhou Chen · Bulent Kiziltan |
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Poster
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Thu 9:00 |
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees Jonathan Brophy · Daniel Lowd |
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Poster
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Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu · dapeng li · Bin Zhang · Yuan Zhan · Yunpeng Baiia · Guoliang Fan |
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Workshop
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Provably Efficient Causal Model-Based Reinforcement Learning for Environment-Agnostic Generalization Mirco Mutti · Riccardo De Santi · Emanuele Rossi · Juan Calderon · Michael Bronstein · Marcello Restelli |
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Workshop
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Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems Hanieh Hashemi · Wenjie Xiong · Liu Ke · Kiwan Maeng · Murali Annavaram · G. Edward Suh · Hsien-Hsin Lee |
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Workshop
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Offline Model-Based Reinforcement Learning for Tokamak Control Ian Char · Joseph Abbate · Laszlo Bardoczi · Mark Boyer · Youngseog Chung · Rory Conlin · Keith Erickson · Viraj Mehta · Nathan Richner · Egemen Kolemen · Jeff Schneider |