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84 Results
Poster
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Wed 14:00 |
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek · Haitham Bou Ammar |
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Oral
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Thu 18:56 |
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner |
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Poster
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Thu 13:30 |
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design Desi Ivanova · Joel Jennings · Tom Rainforth · Cheng Zhang · Adam Foster |
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Poster
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Thu 16:30 |
Bayesian Estimation of Differential Privacy Santiago Zanella-Beguelin · Lukas Wutschitz · Shruti Tople · Ahmed Salem · Victor Ruehle · Andrew Paverd · Mohammad Naseri · Boris Köpf · Dan Jones |
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Poster
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Tue 14:00 |
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference Insung Kong · Dongyoon Yang · Jongjin Lee · Ilsang Ohn · GYUSEUNG BAEK · Yongdai Kim |
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Poster
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Tue 14:00 |
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner |
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Poster
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Tue 14:00 |
Bayesian Design Principles for Frequentist Sequential Learning Yunbei Xu · Assaf Zeevi |
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Poster
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Wed 17:00 |
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process Zhibin Duan · Xinyang Liu · Yudi Su · Yishi Xu · Bo Chen · Mingyuan Zhou |
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Poster
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Thu 13:30 |
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion Martino Bernasconi · Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Francesco Trovò · Nicola Gatti |
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Poster
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Wed 14:00 |
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts Qihan Ren · Huiqi Deng · Yunuo Chen · Siyu Lou · Quanshi Zhang |
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Poster
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Wed 14:00 |
Constrained Causal Bayesian Optimization Virginia Aglietti · Alan Malek · Ira Ktena · Silvia Chiappa |
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Poster
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Tue 17:00 |
Disentangled Multi-Fidelity Deep Bayesian Active Learning Dongxia Wu · Ruijia Niu · Matteo Chinazzi · Yian Ma · Rose Yu |