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Workshop
MisD-MoE: A Multimodal Misinformation Detection Framework with Adaptive Feature Selection
Moyang Liu · Kaiying Yan · Yukun Liu · Ruibo Fu · zhengqi wen · Xuefei Liu · Chenxing Li
Workshop
Sat 14:00 Invited Talk: Jacob R. Garnder - Bayesian optimization needs better deep learning
Jacob Gardner
Poster
Wed 16:30 Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
Workshop
Progressive distillation induces an implicit curriculum
Abhishek Panigrahi · Bingbin Liu · Sadhika Malladi · Andrej Risteski · Surbhi Goel
Poster
Thu 16:30 Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
Workshop
Sun 11:20 A Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
Poster
Fri 11:00 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu · Siddhartha Datta · Yi Su · Dheeraj Baby · Yu-Xiang Wang · Kilian Weinberger
Poster
Fri 11:00 Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
Sangyun Shin · Yuhang He · Madhu Vankadari · Ta-Ying Cheng · Qian Xie · Andrew Markham · Niki Trigoni
Workshop
Multi Objective Regionalized Bayesian Optimization via Entropy Search
Thomas James · Sinnu Thomas
Workshop
Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
Poster
Fri 16:30 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang · Sifan Yang · Yibo Wang · Lijun Zhang
Poster
Wed 16:30 FUGAL: Feature-fortified Unrestricted Graph Alignment
Aditya Bommakanti · Harshith Vonteri · Konstantinos Skitsas · Sayan Ranu · Davide Mottin · Panagiotis Karras