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186 Results
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Poster
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Wed 14:00 |
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger · Lantao Yu · Shengjia Zhao · Chenlin Meng · Stefano Ermon |
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Poster
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Tue 9:00 |
Phase transitions in when feedback is useful Lokesh Boominathan · Xaq Pitkow |
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Poster
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Thu 14:00 |
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal |
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Poster
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Tue 14:00 |
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators Scott Lowe · Robert Earle · Jason d'Eon · Thomas Trappenberg · Sageev Oore |
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Poster
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Wed 9:00 |
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran · Simone Rossi · Dimitrios Milios · Maurizio Filippone |
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Poster
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Wed 9:00 |
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu · Shangqun Yu · Michael Littman · George Konidaris |
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Panel
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Tue 10:15 |
Panel 1A-3: A gradient sampling… & Local Bayesian optimization… Swati Padmanabhan · Quan Nguyen |
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Poster
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Thu 14:00 |
Local Bayesian optimization via maximizing probability of descent Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett |
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Poster
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Wed 9:00 |
Logical Credal Networks Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu |
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Poster
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Wed 14:00 |
Interventions, Where and How? Experimental Design for Causal Models at Scale Panagiotis Tigas · Yashas Annadani · Andrew Jesson · Bernhard Schölkopf · Yarin Gal · Stefan Bauer |
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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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Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |