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Poster
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Wed 11:00
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3D Gaussian Splatting as Markov Chain Monte Carlo
Shakiba Kheradmand · Daniel Rebain · Gopal Sharma · Weiwei Sun · Yang-Che Tseng · Hossam Isack · Abhishek Kar · Andrea Tagliasacchi · Kwang Moo Yi
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Poster
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Wed 16:30
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Speculative Monte-Carlo Tree Search
Scott Cheng · Mahmut T Kandemir · Ding-Yong Hong
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Workshop
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MHP-DDP: Multivariate Hawkes Process with Dependent Dirichlet Process
Alex Jiang · Abel Rodriguez
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Workshop
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TP2DP2: A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
Yiwei Dong · Shaoxin Ye · Yuwen Cao · Qiyu Han · Hongteng Xu · Hanfang Yang
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Workshop
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Squeezing performance from pathology foundation models with chained hyperparameter searches
Joseph Cappadona · Ken Zeng · Carlos Fernandez-Granda · Jan Witowski · Yann LeCun · Krzysztof Geras
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Poster
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Thu 16:30
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Quadratic Quantum Variational Monte Carlo
Baiyu Su · Qiang Liu
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Poster
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Thu 11:00
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An Analysis of Elo Rating Systems via Markov Chains
Sam Olesker-Taylor · Luca Zanetti
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Workshop
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Sun 9:50
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Lightning Talk: Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
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Workshop
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Fast, Precise Thompson Sampling for Bayesian Optimization
David Sweet
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Poster
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Monte Carlo Tree Search based Space Transfer for Black Box Optimization
Shukuan Wang · Ke Xue · Song Lei · Xiaobin Huang · Chao Qian
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Workshop
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SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
Hanwen Du · Bo Peng · Xia Ning
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Affinity Event
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Markov Chain Variance Estimation: A Stochastic Approximation Approach
Shubhada Agrawal · Prashanth L.A. · Siva Theja Maguluri
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