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Poster
Tue 2:30 Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
Evgenii Egorov · Riccardo Valperga · Efstratios Gavves
Workshop
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Yuanqi Du · Michael Plainer · Rob Brekelmans · Chenru Duan · Frank Noe · Carla Gomes · Alan Aspuru-Guzik · Kirill Neklyudov
Poster
Wed 4:30 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
Shion Takeno · Yu Inatsu · Masayuki Karasuyama · Ichiro Takeuchi
Poster
Thu 4:30 Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian · Berk Tinaz · Mahdi Soltanolkotabi
Poster
Tue 2:30 Sampling-based Multi-dimensional Recalibration
Youngseog Chung · Ian Char · Jeff Schneider
Poster
Tue 4:30 Fast Sampling-Based Sketches for Tensors
William Swartworth · David Woodruff
Poster
Tue 2:30 Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
Laixi Shi · Eric Mazumdar · Yuejie Chi · Adam Wierman
Poster
Wed 4:30 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer · Lisa Wimmer · Theodore Papamarkou · Ludwig Bothmann · Bernd Bischl · David Rügamer
Poster
Thu 4:30 Foundations of Testing for Finite-Sample Causal Discovery
Tom Yan · Ziyu Xu · Zachary Lipton
Poster
Wed 2:30 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
Yaodong Yang · Guangyong Chen · Jianye Hao · Pheng Ann Heng
Poster
Thu 2:30 Sample-specific Masks for Visual Reprogramming-based Prompting
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
Workshop
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Yuanqi Du · Michael Plainer · Rob Brekelmans · Chenru Duan · Frank Noe · Carla Gomes · Alan Aspuru-Guzik · Kirill Neklyudov