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Poster
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Thu 9:00
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Active Learning with Neural Networks: Insights from Nonparametric Statistics
Yinglun Zhu · Robert Nowak
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Poster
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Tue 14:00
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Thinned random measures for sparse graphs with overlapping communities
Federica Zoe Ricci · Michele Guindani · Erik Sudderth
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Poster
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Wed 9:00
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Identifiability of deep generative models without auxiliary information
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
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Poster
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GAR: Generalized Autoregression for Multi-Fidelity Fusion
Yuxin Wang · Zheng Xing · WEI XING
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Poster
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Tue 14:00
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Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li
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Poster
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Thu 9:00
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Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
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Poster
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Wed 14:00
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Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Wenying Deng · Beau Coker · Rajarshi Mukherjee · Jeremiah Liu · Brent Coull
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Poster
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Wed 14:00
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An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon · Benjamin Van Roy
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Poster
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Tue 14:00
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On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
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Poster
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Thu 9:00
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Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii · Aleksandr Artemenkov · Kirill Fedyanin · Fedor Noskov · Alexander Fishkov · Artem Shelmanov · Artem Vazhentsev · Aleksandr Petiushko · Maxim Panov
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Poster
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Thu 14:00
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Detection and Localization of Changes in Conditional Distributions
Lizhen Nie · Dan Nicolae
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Poster
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Tue 14:00
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FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
Tan Nguyen · Minh Pham · Tam Nguyen · Khai Nguyen · Stanley Osher · Nhat Ho
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