|
Poster
|
Wed 11:00
|
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
|
|
|
Poster
|
Wed 11:00
|
Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim · Tai Nakamaki · Taiji Suzuki
|
|
|
Poster
|
Wed 11:00
|
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
|
|
|
Workshop
|
|
Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning
Rui Li · Marcus Klasson · Arno Solin · Martin Trapp
|
|
|
Poster
|
Fri 11:00
|
Learning via Surrogate PAC-Bayes
Antoine Picard · Roman Moscoviz · Benjamin Guedj
|
|
|
Workshop
|
|
The Importance of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang · Zhou Lu · Heng Yang
|
|
|
Poster
|
Wed 16:30
|
Block Sparse Bayesian Learning: A Diversified Scheme
Yanhao Zhang · Zhihan Zhu · Yong Xia
|
|
|
Poster
|
Wed 16:30
|
Entropy testing and its application to testing Bayesian networks
Clément L Canonne · Qiping Yang
|
|
|
Poster
|
Fri 16:30
|
Nonparametric Regression for 3D Point Cloud Learning
Xinyi Li · Shan Yu · Yueying Wang · Guannan Wang · Li Wang · Ming-Jun Lai
|
|
|
Poster
|
Fri 11:00
|
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal
|
|
|
Workshop
|
Sun 11:20
|
Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit
Zechen Zhang · Haim Sompolinsky
|
|
|
Workshop
|
|
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
|
|
