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14 Results
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Poster
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Thu 9:00 |
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu · Wei Xu · Haichao Zhang |
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Poster
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Tue 14:00 |
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani · Lin Yang · Csaba Szepesvari |
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Poster
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Robust Anytime Learning of Markov Decision Processes Marnix Suilen · Thiago D. Simão · David Parker · Nils Jansen |
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Poster
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Tue 14:00 |
FlowHMM: Flow-based continuous hidden Markov models Pawel Lorek · Rafal Nowak · Tomasz Trzcinski · Maciej Zieba |
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Poster
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Thu 9:00 |
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell · Joe Benton · Valentin De Bortoli · Thomas Rainforth · George Deligiannidis · Arnaud Doucet |
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Poster
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Tue 14:00 |
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models Rui Miao · Zhengling Qi · Xiaoke Zhang |
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Poster
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Thu 9:00 |
Multi-fidelity Monte Carlo: a pseudo-marginal approach Diana Cai · Ryan Adams |
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Poster
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Thu 9:00 |
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs Julia Costacurta · Lea Duncker · Blue Sheffer · Winthrop Gillis · Caleb Weinreb · Jeffrey Markowitz · Sandeep R Datta · Alex Williams · Scott Linderman |
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Poster
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Thu 14:00 |
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou |
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Workshop
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Fri 13:00 |
Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes |
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Workshop
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Fri 12:30 |
Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes |
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Poster
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Wed 9:00 |
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers Ganchao Wei · Ian H Stevenson · Xiaojing Wang |