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13 Results
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Poster
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Tue 9:00 |
Empirical Gateaux Derivatives for Causal Inference Michael Jordan · Yixin Wang · Angela Zhou |
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Workshop
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Grade-Adjusted Image Analysis Of Breast Cancer To Predict Subtype Dong Neuck Lee · J. S. Marron · Yao Li |
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Workshop
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Sat 13:10 |
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski |
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Workshop
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Astronomical Image Coaddition with Bundle-Adjusting Radiance Fields Harlan Hutton · Harshitha Palegar · Shirley Ho · Miles Cranmer · Peter Melchior · Jenna Eubank |
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Workshop
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Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski |
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Workshop
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Deep learning-based bias adjustment of decadal climate predictions Reinel Sospedra-Alfonso · Johannes Exenberger · Marie McGraw · Trung Kien Dang |
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Workshop
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Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Damian Stachura · Piotr Piękos · Tomasz Odrzygóźdź · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś |
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Workshop
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Mitigating input-causing confounding in multimodal learning via the backdoor adjustment Taro Makino · Krzysztof Geras · Kyunghyun Cho |
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Workshop
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Fri 9:18 |
Deep learning-based bias adjustment of decadal climate predictions Reinel Sospedra-Alfonso · Johannes Exenberger · Marie McGraw · Trung Kien Dang |
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Poster
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Tue 14:00 |
Finding and Listing Front-door Adjustment Sets Hyunchai Jeong · Jin Tian · Elias Bareinboim |
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Poster
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Wed 9:00 |
Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui · Yogesh Kumar · Pekka Marttinen · Samuel Kaski |
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Poster
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Tue 14:00 |
Conformal Prediction with Temporal Quantile Adjustments Zhen Lin · Shubhendu Trivedi · Jimeng Sun |