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18 Results
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Poster
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Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |
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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 |
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants Andrew M. Childs · Tongyang Li · Jin-Peng Liu · Chunhao Wang · Ruizhe Zhang |
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Poster
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Thu 9:00 |
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun · Hanjun Dai · Dale Schuurmans |
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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 |
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Poster
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Wed 14:00 |
Efficient Sampling on Riemannian Manifolds via Langevin MCMC Xiang Cheng · Jingzhao Zhang · Suvrit Sra |
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Poster
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Tue 9:00 |
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill · Erik Nijkamp · Jonathan Mitchell · Bo Pang · Song-Chun Zhu |
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Poster
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Tue 14:00 |
Continuously Tempered PDMP samplers Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead |
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Poster
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Tue 14:00 |
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network SIQI LIANG · Yan Sun · Faming Liang |
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Poster
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Thu 14:00 |
Nonlinear MCMC for Bayesian Machine Learning James Vuckovic |
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Poster
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Wed 14:00 |
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics Afonso S Bandeira · Ahmed El Alaoui · Samuel Hopkins · Tselil Schramm · Alexander S Wein · Ilias Zadik |
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Poster
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Thu 14:00 |
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina · Max Welling · Jakub Tomczak |