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Workshop
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Adaptive Algorithms for Continuous-Time Transport: Homotopy-Driven Sampling and a New Interacting Particle System
Aimee Maurais · Youssef Marzouk
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Workshop
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Sat 11:30
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Space-Time Implicit Neural Representations for Atomic Electron Tomography on Dynamic Samples
Tiffany Chien · Colin Ophus · Laura Waller
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Workshop
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Workshop
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Workshop
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Sat 8:50
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Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei · Yuchen Wu
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Poster
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Wed 15:00
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Stochastic Approximation Algorithms for Systems of Interacting Particles
Mohammad Reza Karimi Jaghargh · Ya-Ping Hsieh · Andreas Krause
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Poster
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Thu 15:00
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Sampling weights of deep neural networks
Erik L Bolager · Iryna Burak · Chinmay Datar · Qing Sun · Felix Dietrich
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Poster
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Tue 8:45
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Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
Xiang Cheng · Bohan Wang · Jingzhao Zhang · Yusong Zhu
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Poster
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Thu 8:45
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Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee
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Poster
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Tue 15:15
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Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Peng Cui · Dan Zhang · Zhijie Deng · Yinpeng Dong · Jun Zhu
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Workshop
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Sampling Protein Language Models for Functional Protein Design
Jeremie Theddy Darmawan · Yarin Gal · Pascal Notin
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Poster
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Wed 15:00
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Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits
Masoud Moravej Khorasani · Erik Weyer
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