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Poster
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Wed 15:00
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Predict-then-Calibrate: A New Perspective of Robust Contextual LP
Chunlin Sun · Linyu Liu · Xiaocheng Li
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Workshop
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Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu · Jiayun Wu · Tianyu Wang · Hao Zou · Peng Cui
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Workshop
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Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Domain Adaptation
Dapeng Hu · Jian Liang · Xinchao Wang · Chuan Sheng Foo
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Poster
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Tue 8:45
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A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
Nika Haghtalab · Michael Jordan · Eric Zhao
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Workshop
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Is EMA Robust? Examining the Robustness of Data Auditing and a Novel Non-calibration Extension
Ayush Alag · Yangsibo Huang · Kai Li
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Affinity Workshop
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Mon 13:30
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Bayesian state estimation and calibration for a robot manipulator end-effector
Zimkhitha Sijovu
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Workshop
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Reliable Test-Time Adaptation via Agreement-on-the-Line
Eungyeup Kim · Mingjie Sun · Aditi Raghunathan · J. Zico Kolter
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Workshop
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A Study on the Calibration of In-context Learning
Hanlin Zhang · yifan zhang · Yaodong Yu · Eric Xing · Himabindu Lakkaraju · Sham Kakade
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Workshop
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Sat 8:40
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A Study on the Calibration of In-context Learning
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Workshop
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Cells2Vec: Bridging the gap between experiments and simulations using causal representation learning
Dhruva Rajwade · Atiyeh Ahmadi · Brian Ingalls
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Workshop
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On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction
Seohyeon Cha · Honggu Kang · Joonhyuk Kang
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Affinity Workshop
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Mon 13:30
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Tractable Large Scale Calibration with Reinforcement Learning
Fadel Thior · Rose Yvette Bandolo Essomba · Sekou Remy
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