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Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom C
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
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Tue Dec 10 04:25 PM -- 04:30 PM (PST) @ West Ballroom C
Scalable Global Optimization via Local Bayesian Optimization
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Tue Dec 10 04:30 PM -- 04:35 PM (PST) @ West Ballroom C
Uncertainty on Asynchronous Time Event Prediction
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Tue Dec 10 04:35 PM -- 04:40 PM (PST) @ West Ballroom C
Bayesian Optimization under Heavy-tailed Payoffs
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Tue Dec 10 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Variational Bayesian Optimal Experimental Design
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Tue Dec 10 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Implicit Posterior Variational Inference for Deep Gaussian Processes
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom C
Parameter elimination in particle Gibbs sampling
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Tue Dec 10 05:05 PM -- 05:10 PM (PST) @ West Ballroom C
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
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Tue Dec 10 05:10 PM -- 05:15 PM (PST) @ West Ballroom C
The Randomized Midpoint Method for Log-Concave Sampling
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Tue Dec 10 05:15 PM -- 05:20 PM (PST) @ West Ballroom C
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
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Tue Dec 10 05:20 PM -- 05:25 PM (PST) @ West Ballroom C
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
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Tue Dec 10 05:25 PM -- 05:30 PM (PST) @ West Ballroom C
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond