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49 Results
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Poster
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Tue 9:00 |
Gradient Estimation with Discrete Stein Operators Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey |
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Poster
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Wed 9:00 |
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback Arya Akhavan · Evgenii Chzhen · Massimiliano Pontil · Alexandre Tsybakov |
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Poster
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Tue 14:00 |
Learning Mixed Multinomial Logits with Provable Guarantees Yiqun Hu · David Simchi-Levi · Zhenzhen Yan |
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Poster
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Tue 14:00 |
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai · Sicun Gao |
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Poster
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Conformal Frequency Estimation with Sketched Data Matteo Sesia · Stefano Favaro |
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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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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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Thu 14:00 |
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson · Allan Raventós · andrew warrington · Scott Linderman |
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Workshop
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Toward Neural Network Simulation of Variational Quantum Algorithms Oliver Knitter · James Stokes · Shravan Veerapaneni |
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Poster
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Thu 14:00 |
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook · Yin-Tat Lee · Ruoqi Shen · Santosh Vempala |
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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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Tue 14:00 |
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator Lior Danon · Dan Garber |