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Workshop
Bayesian Online Non-Stationary Detection for Robust Reinforcement Learning
Alexander Shmakov · Pankaj Rajak · Yuhao Feng · Wojciech Kowalinski · Fei Wang
Poster
Wed 11:00 Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Zeyue Zhang · Xiaoling LU · Feng Zhou
Poster
Thu 16:30 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
Trenton Chang · Lindsay Warrenburg · Sae-Hwan Park · Ravi Parikh · Maggie Makar · Jenna Wiens
Affinity Event
Graph-based Change detection for Natural Language
Akshita Ramya Kamsali
Poster
Thu 16:30 Bayesian Online Natural Gradient (BONG)
Matt Jones · Peter Chang · Kevin Murphy
Poster
Wed 11:00 Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
Gyusam Chang · Jiwon Lee · Donghyun Kim · Jinkyu Kim · Dongwook Lee · Daehyun Ji · Sujin Jang · Sangpil Kim
Workshop
Evaluating Sparse Galaxy Simulations via Out-of-Distribution Detection and Amortized Bayesian Model Comparison
Lingyi Zhou · Stefan Radev · William H. Oliver · Aura Obreja · Zehao Jin · Tobias Buck
Workshop
Failure Prediction from Few Expert Demonstrations
Anjali Parashar · Kunal Garg · Joseph Zhang · Chuchu Fan
Workshop
Exploring Vision Transformers for Early Detection of Climate Change Signals
Sungduk Yu · · Anahita Bhiwandiwalla · Yaniv Gurwicz · Musashi Hinck · Matthew Olson · Raanan Rohekar · VASUDEV LAL
Poster
Thu 16:30 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Qihang Zhou · Jiangtao Yan · Shibo He · Wenchao Meng · Jiming Chen
Workshop
The Importance of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang · Zhou Lu · Heng Yang
Poster
Fri 11:00 ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images
Timing Yang · Yuanliang Ju · Li Yi