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Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #155
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #156
Online sampling from log-concave distributions
Holden Lee · Oren Mangoubi · Nisheeth Vishnoi
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #157
Parameter elimination in particle Gibbs sampling
Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #158
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang · Christopher De Sa
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #159
Pseudo-Extended Markov chain Monte Carlo
Christopher Nemeth · Fredrik Lindsten · Maurizio Filippone · James Hensman
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #160
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou · Pan Xu · Quanquan Gu
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #161
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil SALIM · Dmitry Koralev · Peter Richtarik
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #162
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li · Yi Wu · Lester Mackey · Murat Erdogdu
Poster
Tue Dec 05:30 PM -- 07:30 PM PST @ East Exhibition Hall B + C #163
The Randomized Midpoint Method for Log-Concave Sampling
Ruoqi Shen · Yin Tat Lee