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116 Results
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Poster
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Wed 12:45 |
The Multiple Instance Learning Gaussian Process Probit Model Fulton Wang · Ali Pinar |
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Poster
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Tue 14:00 |
Fast Adaptation with Linearized Neural Networks Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou |
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Poster
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Wed 6:00 |
Causal Autoregressive Flows Ilyes Khemakhem · Ricardo Monti · Robert Leech · Aapo Hyvarinen |
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Poster
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Thu 7:30 |
Faster Kernel Interpolation for Gaussian Processes Mohit Yadav · Daniel Sheldon · Cameron Musco |
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Poster
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Wed 12:45 |
Selective Classification via One-Sided Prediction Aditya Gangrade · Anil Kag · Venkatesh Saligrama |
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Poster
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Wed 6:00 |
Differentiable Divergences Between Time Series Mathieu Blondel · Arthur Mensch · Jean-Philippe Vert |
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Poster
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Thu 7:30 |
Sparse Algorithms for Markovian Gaussian Processes William Wilkinson · Arno Solin · Vincent Adam |
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Poster
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Wed 12:45 |
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization Moses Charikar · Lunjia Hu |
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Poster
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Thu 7:30 |
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper |
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Poster
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Thu 7:30 |
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models Jiaxin Zhang · Sirui Bi · Guannan Zhang |
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Poster
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Tue 18:30 |
Stability and Risk Bounds of Iterative Hard Thresholding Xiaotong Yuan · Ping Li |
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Poster
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Thu 7:30 |
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Qipeng Guo · Zhijing Jin · Ziyu Wang · Xipeng Qiu · Weinan Zhang · Jun Zhu · Zheng Zhang · Wipf David |