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8 Results
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Workshop
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Using gradients to check sensitivity of MCMC-based analyses to removing data Tin Nguyen · Ryan Giordano · Rachael Meager · Tamara Broderick |
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Poster
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Tue 4:30 |
Learning to Explore for Stochastic Gradient MCMC SeungHyun Kim · Seohyeon Jung · SeongHyeon Kim · Juho Lee |
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Poster
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Thu 2:30 |
EMC: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence Chung-Yiu Yau · Hoi To Wai · Parameswaran Raman · Soumajyoti Sarkar · Mingyi Hong |
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Workshop
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Gradient-based Discrete Sampling with Automatic Cyclical Scheduling Patrick Pynadath · Riddhiman Bhattacharya · Arun Narayanan Hariharan · Ruqi Zhang |
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Workshop
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Policy Gradients for Optimal Parallel Tempering MCMC Daniel Zhao · Natesh Pillai |
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Workshop
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von Mises Quasi-Processes for Bayesian Circular Regression Yarden Cohen · Alexandre Wu Navarro · Jes Frellsen · Richard E Turner · Raziel Riemer · Ari Pakman |
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Poster
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Tue 2:30 |
Principled Gradient-Based MCMC for Conditional Sampling of Text Li Du · Afra Amini · Lucas Torroba Hennigen · Xinyan Velocity Yu · Holden Lee · Jason Eisner · Ryan Cotterell |
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Workshop
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Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma · Dheeraj Nagaraj · Karthikeyan Shanmugam |