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Poster
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Tue 14:00 |
[Re] Replication Study of DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks Velizar Shulev · Paul Verhagen · Shuai Wang · Jennifer Zhuge |
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Poster
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Thu 9:00 |
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit |
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Poster
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Wed 14:00 |
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning shaohui peng · Xing Hu · Rui Zhang · Ke Tang · Jiaming Guo · Qi Yi · Ruizhi Chen · xishan zhang · Zidong Du · Ling Li · Qi Guo · Yunji Chen |
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Workshop
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Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference Hao Sun · Taiyi Wang |
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Workshop
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Fri 9:45 |
Local Causal Discovery for Estimating Causal Effects Shantanu Gupta · David Childers · Zachary Lipton |
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Workshop
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Sat 12:00 |
Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges. Kun Zhang |
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Workshop
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Sat 12:25 |
Kun Zhang: Causal Principles Meet Deep Learning: Successes and Challenges. Kun Zhang |
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Workshop
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Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models Alexander Mey |
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Workshop
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Fri 12:45 |
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter |
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Workshop
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Evaluating Digital Tools for Sustainable Agriculture using Causal Inference Ilias Tsoumas · GEORGIOS GIANNARAKIS · Vasileios Sitokonstantinou · Alkiviadis Marios Koukos · Dimitra Loka · Nikolaos Bartsotas · Charalampos Kontoes · Ioannis Athanasiadis |
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Workshop
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Causal Discovery for Modular World Models Anson Lei · Bernhard Schölkopf · Ingmar Posner |
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Workshop
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Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal |