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Poster
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Wed 12:45 |
A Study of Condition Numbers for First-Order Optimization Charles Guille-Escuret · Manuela Girotti · Baptiste Goujaud · Ioannis Mitliagkas |
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Poster
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Wed 12:45 |
Feedback Coding for Active Learning Gregory Canal · Matthieu Bloch · Christopher Rozell |
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Poster
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Wed 12:45 |
A Variational Information Bottleneck Approach to Multi-Omics Data Integration Changhee Lee · Mihaela van der Schaar |
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Poster
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Tue 18:30 |
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama |
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Poster
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Wed 6:00 |
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni · Richard Vidal · Marco Lorenzi |
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Poster
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Wed 6:00 |
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding Hannah Marienwald · Jean-Baptiste Fermanian · Gilles Blanchard |
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Poster
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Wed 12:45 |
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi |
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Oral
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Thu 13:00 |
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi |
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Poster
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Wed 12:45 |
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference Maxime Vandegar · Michael Kagan · Antoine Wehenkel · Gilles Louppe |
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Poster
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Thu 7:30 |
Learning Matching Representations for Individualized Organ Transplantation Allocation Can Xu · Ahmed Alaa · Ioana Bica · Brent Ershoff · Maxime Cannesson · Mihaela van der Schaar |
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Poster
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Tue 14:00 |
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu |
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Poster
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Tue 14:00 |
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma · Xinyang Yi · Weijing Tang · Zhe Zhao · Lichan Hong · Ed Chi · Qiaozhu Mei |