(12 events) Timezone: America/Chicago
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Oral
Tue Dec 10 06:10 PM -- 06:25 PM (CST) @ West Ballroom C
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
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Tue Dec 10 06:25 PM -- 06:30 PM (CST) @ West Ballroom C
Scalable Global Optimization via Local Bayesian Optimization
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Tue Dec 10 06:30 PM -- 06:35 PM (CST) @ West Ballroom C
Uncertainty on Asynchronous Time Event Prediction
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Tue Dec 10 06:35 PM -- 06:40 PM (CST) @ West Ballroom C
Bayesian Optimization under Heavy-tailed Payoffs
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Tue Dec 10 06:40 PM -- 06:45 PM (CST) @ West Ballroom C
Variational Bayesian Optimal Experimental Design
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Tue Dec 10 06:45 PM -- 06:50 PM (CST) @ West Ballroom C
Implicit Posterior Variational Inference for Deep Gaussian Processes
Oral
Tue Dec 10 06:50 PM -- 07:05 PM (CST) @ West Ballroom C
Parameter elimination in particle Gibbs sampling
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Tue Dec 10 07:05 PM -- 07:10 PM (CST) @ West Ballroom C
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
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Tue Dec 10 07:10 PM -- 07:15 PM (CST) @ West Ballroom C
The Randomized Midpoint Method for Log-Concave Sampling
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Tue Dec 10 07:15 PM -- 07:20 PM (CST) @ West Ballroom C
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
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Tue Dec 10 07:20 PM -- 07:25 PM (CST) @ West Ballroom C
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
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Tue Dec 10 07:25 PM -- 07:30 PM (CST) @ West Ballroom C
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
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