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Poster
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Tue 9:00 |
How Good is the Bayes Posterior in Deep Neural Networks Really? Florian Wenzel, Kevin Roth, Bastiaan Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
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Poster
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Tue 10:00 |
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Schober, Philipp Hennig |
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Poster
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Tue 10:00 |
Error Estimation for Sketched SVD via the Bootstrap Miles Lopes, N. Benjamin Erichson, Michael Mahoney |
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Poster
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Tue 13:00 |
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans, Volodimir Begy, Gilles Louppe |
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Poster
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Tue 18:00 |
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics Futoshi Futami, Issei Sato, Masashi Sugiyama |
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Poster
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Wed 8:00 |
Stochastic Gradient and Langevin Processes Xiang Cheng, Dong Yin, Peter Bartlett, Michael Jordan |
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Poster
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Wed 10:00 |
Batch Stationary Distribution Estimation Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans |
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Poster
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Wed 12:00 |
Automatic Reparameterisation of Probabilistic Programs Maria Gorinova, Dave Moore, Matt Hoffman |
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Poster
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Wed 12:00 |
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuan Zhou, Hongseok Yang, Yee-Whye Teh, Tom Rainforth |
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Poster
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Wed 12:00 |
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer |
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Poster
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Wed 13:00 |
Involutive MCMC: a Unifying Framework Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry Vetrov |
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Poster
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Wed 13:00 |
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach Miles Lopes, Jessie X.T. Chen |
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Poster
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Thu 6:00 |
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics Matt Hoffman, Yian Ma |
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Poster
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Thu 8:00 |
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin |
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Poster
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Thu 12:00 |
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains Johannes Fischer, Sahin Tas |
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Poster
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Thu 12:00 |
Double-Loop Unadjusted Langevin Algorithm Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher |
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Poster
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Thu 13:00 |
The Boomerang Sampler Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani, Gareth Roberts |
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Poster
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Thu 13:00 |
Kernel interpolation with continuous volume sampling Ayoub Belhadji, Rémi Bardenet, Pierre Chainais |
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Poster
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Thu 14:00 |
Efficiently sampling functions from Gaussian process posteriors James Wilson, Slava Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Deisenroth |
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Poster
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Thu 15:00 |
Spectral Subsampling MCMC for Stationary Time Series Robert Salomone, Matias Quiroz, Robert kohn, Mattias Villani, Minh-Ngoc Tran |
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Poster
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Thu 17:00 |
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes Naoto Ohsaka, Tatsuya Matsuoka |