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Poster
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Wed 9:00
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A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao · Tianyu Wang · Kee Siong Ng
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Workshop
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How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye
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Workshop
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Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization
Abel Peirson · Ehsan Amid · Yatong Chen · Vladimir Feinberg · Manfred Warmuth · Rohan Anil
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Poster
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Tue 14:00
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GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn · Arash Vahdat · Karsten Kreis
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Workshop
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LSGANs with Gradient Regularizers are Smooth High-dimensional Interpolators
Siddarth Asokan · Chandra Seelamantula
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Workshop
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Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
Kenzo Clauw · Daniele Marinazzo · Sebastiano Stramaglia
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Poster
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Thu 14:00
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Scale-invariant Learning by Physics Inversion
Philipp Holl · Vladlen Koltun · Nils Thuerey
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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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Workshop
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Fri 6:15
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Order up! The Benefits of Higher-Order Optimization in Machine Learning
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu
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Workshop
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Beyond Central Limit Theorem for Higher Order Inference in Batched Bandits
Yechan Park · Ruohan Zhan · Nakahiro Yoshida
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Poster
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Wed 14:00
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MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia · David P Kovacs · Gregor Simm · Christoph Ortner · Gabor Csanyi
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Workshop
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Incorporating Higher Order Constraints for Training Surrogate Models to Solve Inverse Problems
Jihui Jin · Nick Durofchalk · Richard Touret · Karim Sabra · Justin Romberg
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