|
Poster
|
Tue 14:00
|
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang · Gabriel Bender · Hanxiao Liu · Pieter-Jan Kindermans · Madeleine Udell · Yifeng Lu · Quoc V Le · Da Huang
|
|
|
Poster
|
|
Fixed-Distance Hamiltonian Monte Carlo
Hadi Mohasel Afshar · Sally Cripps
|
|
|
Poster
|
Thu 9:00
|
Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
|
|
|
Poster
|
Thu 14:00
|
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
|
|
|
Poster
|
Wed 9:00
|
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
Ganchao Wei · Ian H Stevenson · Xiaojing Wang
|
|
|
Poster
|
Thu 14:00
|
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt · Biwei Dai · Uros Seljak
|
|
|
Poster
|
Tue 9:00
|
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
|
|
|
Poster
|
Tue 9:00
|
Gradient Estimation with Discrete Stein Operators
Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey
|
|
|
Poster
|
Thu 9:00
|
Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang
|
|
|
Workshop
|
|
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy · Jonathan Pisane · Damien Ernst
|
|
|
Workshop
|
|
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density
Curtis McDonald · Andrew Barron
|
|
|
Poster
|
Tue 14:00
|
Monte Carlo Tree Descent for Black-Box Optimization
Yaoguang Zhai · Sicun Gao
|
|
