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Oral
Fri Jun 14 01:00 AM -- 01:20 AM (KST) @ Room 101
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
In Monte Carlo Methods
Antoine Liutkus · Umut Simsekli · Szymon Majewski · Alain Durmus · Fabian-Robert Stöter
[ Oral] 
Oral
Fri Jun 14 01:20 AM -- 01:25 AM (KST) @ Room 101
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
In Monte Carlo Methods
Thanh Huy Nguyen · Umut Simsekli · Gaël RICHARD
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:25 AM -- 01:30 AM (KST) @ Room 101
Unifying Orthogonal Monte Carlo Methods
In Monte Carlo Methods
Krzysztof Choromanski · Mark Rowland · Wenyu Chen · Adrian Weller
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:30 AM -- 01:35 AM (KST) @ Room 101
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
In Monte Carlo Methods
Martin Zhang · James Zou · David Tse
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:35 AM -- 01:40 AM (KST) @ Room 101
Metropolis-Hastings Generative Adversarial Networks
In Monte Carlo Methods
Ryan Turner · Jane Hung · Eric Frank · Yunus Saatchi · Jason Yosinski
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:40 AM -- 02:00 AM (KST) @ Room 101
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
In Monte Carlo Methods
Rob Cornish · Paul Vanetti · Alexandre Bouchard-Côté · George Deligiannidis · Arnaud Doucet
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:00 AM -- 02:05 AM (KST) @ Room 101
Replica Conditional Sequential Monte Carlo
In Monte Carlo Methods
Alex Shestopaloff · Arnaud Doucet
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:05 AM -- 02:10 AM (KST) @ Room 101
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes
In Monte Carlo Methods
Alireza Rezaei · Shayan Oveis Gharan
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:10 AM -- 02:15 AM (KST) @ Room 101
Adaptive Antithetic Sampling for Variance Reduction
In Monte Carlo Methods
Hongyu Ren · Shengjia Zhao · Stefano Ermon
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:15 AM -- 02:20 AM (KST) @ Room 101
Accelerated Flow for Probability Distributions
In Monte Carlo Methods
Amirhossein Taghvaei · Prashant Mehta
[ Slides]  [ Oral]