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80 Results
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Poster
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Tue 15:30 |
Fenrir: Physics-Enhanced Regression for Initial Value Problems Filip Tronarp · Nathanael Bosch · Philipp Hennig |
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Poster
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Wed 15:30 |
Feature Learning and Signal Propagation in Deep Neural Networks Yizhang Lou · Chris Mingard · Soufiane Hayou |
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Spotlight
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Thu 10:55 |
Nonparametric Embeddings of Sparse High-Order Interaction Events Zheng Wang · Yiming Xu · Conor Tillinghast · Shibo Li · Akil Narayan · Shandian Zhe |
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Spotlight
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Wed 11:40 |
Efficient Approximate Inference for Stationary Kernel on Frequency Domain Yohan Jung · Kyungwoo Song · Jinkyoo Park |
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Poster
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Thu 15:00 |
AutoIP: A United Framework to Integrate Physics into Gaussian Processes Da Long · Zheng Wang · Aditi Krishnapriyan · Robert Kirby · Shandian Zhe · Michael Mahoney |
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Poster
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Tue 15:30 |
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament · Carla Gomes |
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Poster
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Thu 15:00 |
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais · Sotirios Chatzis |
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Spotlight
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Wed 14:50 |
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points Yi Wang · Zhiren Wang |
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Poster
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Tue 15:30 |
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton · Wesley Maddox · Nate Gruver · Phillip Maffettone · Emily Delaney · Peyton Greenside · Andrew Wilson |
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Poster
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Tue 15:30 |
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi |
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Spotlight
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Wed 7:55 |
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes Conor Tillinghast · Zheng Wang · Shandian Zhe |
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Poster
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Wed 15:30 |
Function-space Inference with Sparse Implicit Processes Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato |