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Poster
Wed 16:30 Sample-Efficient Private Learning of Mixtures of Gaussians
Hassan Ashtiani · Mahbod Majid · Shyam Narayanan
Poster
Wed 16:30 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
Fri 11:00 Active preference learning for ordering items in- and out-of-sample
Herman Bergström · Emil Carlsson · Devdatt Dubhashi · Fredrik Johansson
Poster
Thu 11:00 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
Xiao Tan · Yiqin Wang · Yangyang Shen · Dian Shen · Meng Wang · Peibo Duan · Beilun Wang
Poster
Fri 11:00 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke
Affinity Event
Tue 9:10 A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
Jhoan Keider Hoyos
Poster
Thu 11:00 VISA: Variational Inference with Sequential Sample-Average Approximations
Heiko Zimmermann · Christian Andersson Naesseth · Jan-Willem van de Meent
Poster
Wed 16:30 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Sam Griesemer · Defu Cao · Zijun Cui · Carolina Osorio · Yan Liu
Poster
Fri 11:00 Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown · Alexandru Cioba · Ilija Bogunovic
Poster
Thu 16:30 Sample-Efficient Constrained Reinforcement Learning with General Parameterization
Washim Mondal · Vaneet Aggarwal
Affinity Event
A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
Jhoan Keider Hoyos · Luis Sanchez Giraldo
Poster
Thu 11:00 Sample-Efficient Agnostic Boosting
Udaya Ghai · Karan Singh