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Poster
Wed 14:00 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Ziomek · Haitham Bou Ammar
Oral
Thu 18:56 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner
Poster
Thu 13:30 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi Ivanova · Joel Jennings · Tom Rainforth · Cheng Zhang · Adam Foster
Poster
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
Poster
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
Poster
Tue 14:00 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner
Poster
Tue 14:00 Bayesian Design Principles for Frequentist Sequential Learning
Yunbei Xu · Assaf Zeevi
Poster
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
Poster
Thu 13:30 Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Martino Bernasconi · Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Francesco Trovò · Nicola Gatti
Poster
Wed 14:00 Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren · Huiqi Deng · Yunuo Chen · Siyu Lou · Quanshi Zhang
Poster
Wed 14:00 Constrained Causal Bayesian Optimization
Virginia Aglietti · Alan Malek · Ira Ktena · Silvia Chiappa
Poster
Tue 17:00 Disentangled Multi-Fidelity Deep Bayesian Active Learning
Dongxia Wu · Ruijia Niu · Matteo Chinazzi · Yian Ma · Rose Yu