Search All 2020 Events
 

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Poster
Thu 12:00 Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill · Florent Altché · Yunhao Tang · Thomas Hubert · Michal Valko · Ioannis Antonoglou · Remi Munos
Poster
Thu 7:00 Provable Smoothness Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Thu 7:00 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Michael Zhu · Chang Liu · Jun Zhu
Poster
Thu 17:00 On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
Naoto Ohsaka · Tatsuya Matsuoka
Poster
Thu 12:00 Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
Johannes Fischer · Ömer Sahin Tas
Poster
Tue 18:00 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
Futoshi Futami · Issei Sato · Masashi Sugiyama
Poster
Wed 10:00 Batch Stationary Distribution Estimation
Junfeng Wen · Bo Dai · Lihong Li · Dale Schuurmans
Poster
Wed 8:00 Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu
Poster
Wed 13:00 Involutive MCMC: a Unifying Framework
Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov
Poster
Thu 12:00 Double-Loop Unadjusted Langevin Algorithm
Paul Rolland · Armin Eftekhari · Ali Kavis · Volkan Cevher
Poster
Thu 8:00 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin
Poster
Wed 12:00 Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho Banerjee · Saurabh Jha · Zbigniew Kalbarczyk · Ravishankar Iyer