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Poster
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Fri 11:00
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Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
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Workshop
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Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
Matthew Peroni · Dimitris Bertsimas
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Workshop
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Decomposing and Editing Predictions by Modeling Model Computation
Harshay Shah · Andrew Ilyas · Aleksander Madry
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Workshop
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GUIDE: A Responsible Multimodal Approach for Enhanced Glaucoma Risk Modeling and Patient Trajectory Analysis
Heman Shakeri · Behnaz Moradijamei
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Workshop
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Sat 11:00
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From Causal to Concept-Based Representation Learning
Goutham Rajendran · Simon Buchholz · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
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Workshop
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From Causal to Concept-Based Representation Learning
Goutham Rajendran · Simon Buchholz · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
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Workshop
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Interpretable AI in Human-Machine Systems: Insights from Human-in-the-Loop Product Recommendation Engines
Pooria Assadi · NIMA SAFAEI
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Poster
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Thu 16:30
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Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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Workshop
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A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo · Mostafa ElAraby · JONAS NGNAWE · Yann Pequignot · Frederic Precioso · Christian Gagné
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Poster
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Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang · Skyler Seto · Samira Abnar · David Grangier · Navdeep Jaitly · Joshua Susskind
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Poster
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Wed 11:00
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Zero-Shot Transfer of Neural ODEs
Tyler Ingebrand · Adam Thorpe · Ufuk Topcu
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