Poster

Wed 14:00

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann · Heinz Koeppl

Workshop

Rational Multi-Objective Agents Must Admit Non-Markov Reward Representations
Silviu Pitis · Duncan Bailey · Jimmy Ba

Poster

Wed 9:00

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding

Poster

Robust Anytime Learning of Markov Decision Processes
Marnix Suilen · Thiago D. Simão · David Parker · Nils Jansen

Poster

Wed 9:00

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger

Poster

Wed 9:00

Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski

Poster

Fixed-Distance Hamiltonian Monte Carlo
Hadi Mohasel Afshar · Sally Cripps

Poster

Tue 14:00

Parallel Tempering With a Variational Reference
Nikola Surjanovic · Saifuddin Syed · Alexandre Bouchard-Côté · Trevor Campbell

Poster

Thu 14:00

Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim · Jisu Oh · Jacob Gardner · Adji Bousso Dieng · Hongseok Kim

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

Wed 9:00

Policy Gradient With Serial Markov Chain Reasoning
Edoardo Cetin · Oya Celiktutan

Poster

Thu 9:00

A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell · Joe Benton · Valentin De Bortoli · Thomas Rainforth · George Deligiannidis · Arnaud Doucet

67 Results