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Poster
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Wed 14:00
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Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
Lechao Xiao · Hong Hu · Theodor Misiakiewicz · Yue Lu · Jeffrey Pennington
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Poster
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Thu 14:00
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Communication Efficient Distributed Learning for Kernelized Contextual Bandits
Chuanhao Li · Huazheng Wang · Mengdi Wang · Hongning Wang
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Poster
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Tue 14:00
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Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi · Wonho Bae · Danica J. Sutherland
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Poster
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Thu 14:00
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Human-AI Collaborative Bayesian Optimisation
Arun Kumar A V · Santu Rana · Alistair Shilton · Svetha Venkatesh
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Poster
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Thu 9:00
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Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny · Andreas Krause
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Poster
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Wed 14:00
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Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Workshop
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Reconstruction of polymer structures from contact maps with Deep Learning
Atreya Dey
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Poster
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Wed 9:00
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Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Tao Liu · P. R. Kumar · Ruida Zhou · Xi Liu
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Poster
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A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Poster
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Thu 9:00
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
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