See the list of speakers.
| Wednesday, October 16, 2024 | ||||
|---|---|---|---|---|
| Registration and Welcome Breakfast | 9:00 AM - 9:45 AM | |||
| Conference Day 1: Kline14 | 9:00 AM - 5:00 PM | |||
| Opening Remarks | 9:45 AM - 10:00 AM | |||
| Keynote 1: Gareth Roberts (University of Warwick) | 10:00 AM - 11:00 AM | Diffusive Behaviour Of Non-reversible Mcmc With Application To Simulated Tempering. | ||
| Coffee Break | 11:00 AM - 11:30 AM | |||
| Jianfeng Lu | 11:30 AM - 12:00 PM | Twisted Path Particle Filter | ||
| Dan Lacker | 12:00 PM - 12:30 PM | Projected Langevin Dynamics And A Gradient Flow For Entropic Optimal Transport | ||
| Luncheon | 12:30 PM - 1:30 PM | |||
| Wesley Pegden | 1:30 PM - 2:00 PM | Probability spaces driven by geometric constraints | ||
| Eric Vigoda | 2:00 PM - 2:30 PM | Optimal Mixing Via Spectral Independence: Sampling Independent Sets And Colorings | ||
| Nima Anari | 2:30 PM - 3:00 PM | Parallel Sampling Via Auto-speculation | ||
| Coffee Break | 3:00 PM - 3:30 PM | |||
| Yuchen Wu | 3:30 PM - 4:00 PM | Provably Efficient Posterior Sampling Via Measure Decomposition | ||
| Valentin de Bortoli | 4:00 PM - 4:30 PM | Unpaired data translation: Optimal Transport meets diffusion models | ||
| Cheng Lu | 4:30 PM - 5:00 PM | Scalable Fast Sampling Methods For Diffusion Models | ||
| Free Time. | 5:00 PM - 7:00 PM | |||
| Conference Banquet | 7:00 PM - 9:00 PM | |||
| Thursday, October 17, 2024 | ||||
| Registration and Welcome Breakfast | 9:00 AM - 10:00 AM | |||
| Conference Day 2: Kline13 | 9:00 AM - 7:00 PM | |||
| Keynote 2: Andreas Eberle (Bonn) | 10:00 AM - 11:00 AM | Non-reversible Lifts Of Reversible Diffusion Processes And Relaxation Times | ||
| Coffee Break | 11:00 AM - 11:30 AM | |||
| Anna Korba | 11:30 AM - 12:00 PM | Implicit Diffusion: Efficient Optimization through Stochastic Sampling | ||
| Bob Carpenter | 12:00 PM - 12:30 PM | Gist: Gibbs Self Tuning For Locally Adaptive Hamiltonian Monte Carlo | ||
| Luncheon | 12:30 PM - 1:30 PM | |||
| Alain Durmus | 1:30 PM - 2:00 PM | Markovian generative models | ||
| Nawaf Bou-Rabee | 2:00 PM - 2:30 PM | Mixing Of The No-u-turn Sampler And The Geometry Of Gaussian Concentration | ||
| Matt Hoffman | 2:30 PM - 3:00 PM | Running Many-chain Mcmc On Cheap Gpus | ||
| Coffee Break | 3:00 PM - 3:30 PM | |||
| Ashia Wilson | 3:30 PM - 4:00 PM | High-accuracy Sampling From Constrained Spaces: An Optimization Perspective | ||
| Kevin Tian | 4:00 PM - 4:30 PM | Algorithmic Aspects Of The Log-laplace Transform And A Non-euclidean Proximal Sampler | ||
| Holden Lee | 4:30 PM - 5:00 PM | Efficiently Learning And Sampling Multimodal Distributions With Data-based Initialization | ||
| Poster Session | 5:00 PM - 7:00 PM | |||
| Friday, October 18, 2024 | ||||
| Conference Day 3: Kline13 | 9:00 AM - 10:00 AM | |||
| Registration and Welcome Breakfast | 9:00 AM - 10:00 AM | |||
| Keynote 3: Jonathan Weare (NYU) | 10:00 AM - 11:00 AM | Convergence Of Unadjusted Langevin In High-Dimensions: Delocalization Of Bias | ||
| Coffee Break | 11:00 AM - 11:30 AM | |||
| Smita Krishnaswamy | 11:30 AM - 12:00 PM | Geometry-aware Generative Autoencoders For Sample Generation On Manifolds | ||
| Closing Remarks and Farewell | 12:00 PM - 12:15 PM | |||
| Luncheon | 12:15 PM - 1:45 PM | |||
| Open Problem Session | 1:45 PM - 3:00 PM | |||
