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