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45 Results
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Workshop
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Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density Curtis McDonald · Andrew Barron |
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Poster
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Thu 9:00 |
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik |
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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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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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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 |
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo · Yeong-Dae Kwon · Jihoon Kim · Jeongwoo Jae · André Hottung · Kevin Tierney · Youngjune Gwon |
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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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Wed 14:00 |
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling Rémi Leluc · François Portier · Johan Segers · Aigerim Zhuman |
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Workshop
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Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference Bingjie Wang · Joel Leja · Victoria Villar · Joshua Speagle |
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Workshop
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Towards Neural Variational Monte Carlo That Scales Linearly with System Size Or Sharir · Garnet Chan · Anima Anandkumar |
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Poster
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Thu 14:00 |
Nonlinear MCMC for Bayesian Machine Learning James Vuckovic |