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50 Results
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Poster
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Wed 9:00 |
Distributionally Robust Optimization via Ball Oracle Acceleration Yair Carmon · Danielle Hausler |
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Poster
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Wed 14:00 |
Mining Multi-Label Samples from Single Positive Labels Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo |
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Poster
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Tue 14:00 |
Parallel Tempering With a Variational Reference Nikola Surjanovic · Saifuddin Syed · Alexandre Bouchard-Côté · Trevor Campbell |
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Poster
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Wed 9:00 |
Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski |
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Workshop
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A code superoptimizer through neural Monte-Carlo tree search Wenda Zhou · Olga Solodova · Ryan Adams |
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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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Tue 14:00 |
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement Cian Naik · Judith Rousseau · Trevor Campbell |
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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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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 |
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions Weirui Ye · Pieter Abbeel · Yang Gao |
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Workshop
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Sat 8:55 |
A code superoptimizer through neural Monte-Carlo tree search Wenda Zhou · Olga Solodova · Ryan Adams |
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Poster
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Tue 14:00 |
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson |