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Workshop
Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang · Seonghyun Kim
Poster
Thu 9:00 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
Poster
Wed 14:00 FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Ozgur Turkoglu · Alexander Becker · Hüseyin Anil Gündüz · Mina Rezaei · Bernd Bischl · Rodrigo Caye Daudt · Stefano D'Aronco · Jan Wegner · Konrad Schindler
Workshop
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Dmitry Akimov · Sergey Kolesnikov
Poster
Thu 9:00 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu
Poster
Thu 14:00 Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Rame · Matthieu Kirchmeyer · Thibaud Rahier · Alain Rakotomamonjy · Patrick Gallinari · Matthieu Cord
Poster
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
Poster
Tue 14:00 Merging Models with Fisher-Weighted Averaging
Michael S Matena · Colin Raffel
Poster
Wed 14:00 An Analysis of Ensemble Sampling
Chao Qin · Zheng Wen · Xiuyuan Lu · Benjamin Van Roy
Poster
Thu 9:00 DivBO: Diversity-aware CASH for Ensemble Learning
Yu Shen · Yupeng Lu · Yang Li · Yaofeng Tu · Wentao Zhang · Bin CUI
Poster
Wed 9:00 On Margins and Generalisation for Voting Classifiers
Felix Biggs · Valentina Zantedeschi · Benjamin Guedj
Poster
Tue 14:00 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit · Huan Wang · Yingbo Zhou · Caiming Xiong