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Poster
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Thu 16:30
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Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Elias Nehme · Rotem Mulayoff · Tomer Michaeli
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Poster
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Thu 16:30
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CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang · Yifang Chen · Wendan Yan · Alex Fang · Wenjing Zhou · Kevin Jamieson · Simon Du
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Poster
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Thu 16:30
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Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque · John Pearson
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Poster
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Fri 16:30
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Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
Alexander Terenin · David Burt · Artem Artemev · Seth Flaxman · Mark van der Wilk · Carl Edward Rasmussen · Hong Ge
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Poster
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Fri 16:30
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Persistent Homology for High-dimensional Data Based on Spectral Methods
Sebastian Damrich · Philipp Berens · Dmitry Kobak
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Poster
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Fri 16:30
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A Kernel Perspective on Distillation-based Collaborative Learning
Sejun Park · Kihun Hong · Ganguk Hwang
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Poster
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Wed 16:30
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Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Sam Griesemer · Defu Cao · Zijun Cui · Carolina Osorio · Yan Liu
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Poster
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Fri 11:00
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Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke
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Poster
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Fri 16:30
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Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
Quoc Tran Dinh · Trang H. Tran · Lam Nguyen
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Poster
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Fri 11:00
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Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria · Ben Letham · Jana Doppa · Barbara Engelhardt · Stefano Ermon · Eytan Bakshy
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Workshop
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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