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102 Results
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Poster
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Tue 9:00 |
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Vo Nguyen Le Duy · Shogo Iwazaki · Ichiro Takeuchi |
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Poster
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Tue 9:00 |
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu |
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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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Wed 14:00 |
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation Viktor Bengs · Eyke Hüllermeier · Willem Waegeman |
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Poster
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Tue 14:00 |
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture Myong Chol Jung · He Zhao · Joanna Dipnall · Belinda Gabbe · Lan Du |
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Poster
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Wed 14:00 |
Robust Calibration with Multi-domain Temperature Scaling Yaodong Yu · Stephen Bates · Yi Ma · Michael Jordan |
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Poster
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Thu 14:00 |
PAC Prediction Sets for Meta-Learning Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani |
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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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Thu 9:00 |
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson |
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Poster
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Wed 14:00 |
Introspective Learning : A Two-Stage approach for Inference in Neural Networks Mohit Prabhushankar · Ghassan AlRegib |
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Poster
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Tue 9:00 |
Autoinverse: Uncertainty Aware Inversion of Neural Networks Navid Ansari · Hans-peter Seidel · Nima Vahidi Ferdowsi · Vahid Babaei |
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Poster
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Thu 14:00 |
Bayesian Risk Markov Decision Processes Yifan Lin · Yuxuan Ren · Enlu Zhou |