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60 Results
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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 |
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding · Lingxiao Zhao · Leman Akoglu |
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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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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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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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Competition
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Wed 6:25 |
Deep Ensemble predicts Exoplanets’ Atmospheres Composition |
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Poster
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Tue 14:00 |
Deep Ensembles Work, But Are They Necessary? Taiga Abe · Estefany Kelly Buchanan · Geoff Pleiss · Richard Zemel · John Cunningham |
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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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Wed 9:00 |
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters Kamyar Ghasemipour · Shixiang (Shane) Gu · Ofir Nachum |
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Poster
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Thu 9:00 |
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack yunrui yu · Xitong Gao · Cheng-Zhong Xu |
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Poster
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Tue 14:00 |
Efficient Methods for Non-stationary Online Learning Peng Zhao · Yan-Feng Xie · Lijun Zhang · Zhi-Hua Zhou |
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Poster
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Thu 9:00 |
Learning Debiased Classifier with Biased Committee Nayeong Kim · SEHYUN HWANG · Sungsoo Ahn · Jaesik Park · Suha Kwak |