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