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17 Results
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Poster
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Wed 9:00 |
Launch and Iterate: Reducing Prediction Churn Mahdi Milani Fard · Quentin Cormier · Kevin Canini · Maya Gupta |
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Poster
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Wed 9:00 |
Variance Reduction in Stochastic Gradient Langevin Dynamics Kumar Avinava Dubey · Sashank J. Reddi · Sinead Williamson · Barnabas Poczos · Alexander Smola · Eric Xing |
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Poster
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Wed 9:00 |
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling Chengtao Li · Suvrit Sra · Stefanie Jegelka |
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Poster
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Tue 9:00 |
Synthesis of MCMC and Belief Propagation Sungsoo Ahn · Michael Chertkov · Jinwoo Shin |
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Poster
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Tue 9:00 |
Fast and Provably Good Seedings for k-Means Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause |
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Poster
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Mon 9:00 |
Completely random measures for modelling block-structured sparse networks Tue Herlau · Mikkel N Schmidt · Morten Mørup |
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Oral
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Wed 8:40 |
Bayesian Optimization with Robust Bayesian Neural Networks Jost Tobias Springenberg · Aaron Klein · Stefan Falkner · Frank Hutter |
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Oral
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Tue 3:00 |
Synthesis of MCMC and Belief Propagation Sungsoo Ahn · Michael Chertkov · Jinwoo Shin |
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Oral
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Tue 3:00 |
Fast and Provably Good Seedings for k-Means Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause |
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Poster
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Wed 9:00 |
Bayesian Optimization with Robust Bayesian Neural Networks Jost Tobias Springenberg · Aaron Klein · Stefan Falkner · Frank Hutter |
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Poster
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Wed 9:00 |
Measuring the reliability of MCMC inference with bidirectional Monte Carlo Roger Grosse · Siddharth Ancha · Daniel Roy |
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Poster
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Wed 9:00 |
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Yizhe Zhang · Xiangyu Wang · Changyou Chen · Ricardo Henao · Kai Fan · Lawrence Carin |