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19 Results
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Poster
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Thu 7:45 |
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo Oren Mangoubi · Nisheeth Vishnoi |
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Poster
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Thu 7:45 |
Mallows Models for Top-k Lists Flavio Chierichetti · Anirban Dasgupta · Shahrzad Haddadan · Ravi Kumar · Silvio Lattanzi |
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Poster
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Thu 7:45 |
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning Rui Luo · Jianhong Wang · Yaodong Yang · Jun WANG · Zhanxing Zhu |
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Poster
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Wed 7:45 |
Global Non-convex Optimization with Discretized Diffusions Murat Erdogdu · Lester Mackey · Ohad Shamir |
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Poster
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Thu 7:45 |
Meta-Learning MCMC Proposals Tongzhou Wang · YI WU · Dave Moore · Stuart Russell |
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Poster
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Wed 7:45 |
Hamiltonian Variational Auto-Encoder Anthony Caterini · Arnaud Doucet · Dino Sejdinovic |
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Poster
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Thu 7:45 |
The promises and pitfalls of Stochastic Gradient Langevin Dynamics Nicolas Brosse · Alain Durmus · Eric Moulines |
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Poster
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Thu 7:45 |
Variational Bayesian Monte Carlo Luigi Acerbi |
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Poster
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Thu 7:45 |
Graphical model inference: Sequential Monte Carlo meets deterministic approximations Fredrik Lindsten · Jouni Helske · Matti Vihola |
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Poster
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Wed 7:45 |
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Holden Lee · Andrej Risteski · Rong Ge |
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Poster
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Thu 7:45 |
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo Marton Havasi · José Miguel Hernández-Lobato · Juan J. Murillo-Fuentes |
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Poster
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Thu 7:45 |
Large-Scale Stochastic Sampling from the Probability Simplex Jack Baker · Paul Fearnhead · Emily Fox · Christopher Nemeth |