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Oral
Wed Jun 12 04:00 PM -- 04:20 PM (PDT) @ Room 101
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
Jennifer Gillenwater · Alex Kulesza · Zelda Mariet · Sergei Vassilvitskii
Oral
Wed Jun 12 04:20 PM -- 04:25 PM (PDT) @ Room 101
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models
Dilin Wang · Qiang Liu
Oral
Wed Jun 12 04:25 PM -- 04:30 PM (PDT) @ Room 101
Understanding and Accelerating Particle-Based Variational Inference
Chang Liu · Jingwei Zhuo · Pengyu Cheng · RUIYI (ROY) ZHANG · Jun Zhu
Oral
Wed Jun 12 04:30 PM -- 04:35 PM (PDT) @ Room 101
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
Paul Rolland · Ali Kavis · Alexander Niklaus Immer · Adish Singla · Volkan Cevher
Oral
Wed Jun 12 04:35 PM -- 04:40 PM (PDT) @ Room 101
The Variational Predictive Natural Gradient
Da Tang · Rajesh Ranganath
Oral
Wed Jun 12 04:40 PM -- 05:00 PM (PDT) @ Room 101
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
Edwin Fong · Simon Lyddon · Christopher Holmes
Oral
Wed Jun 12 05:00 PM -- 05:05 PM (PDT) @ Room 101
An Instability in Variational Inference for Topic Models
Behrooz Ghorbani · Hamidreza Hakim Javadi · Andrea Montanari
Oral
Wed Jun 12 05:05 PM -- 05:10 PM (PDT) @ Room 101
Bayesian Optimization of Composite Functions
Raul Astudillo · Peter I Frazier
Oral
Wed Jun 12 05:10 PM -- 05:15 PM (PDT) @ Room 101
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
Raj Agrawal · Brian Trippe · Jonathan Huggins · Tamara Broderick
Oral
Wed Jun 12 05:15 PM -- 05:20 PM (PDT) @ Room 101
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
Chengyue Gong · Jian Peng · Qiang Liu