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54 Results
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Poster
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Tue 14:00 |
Learning GPLVM with arbitrary kernels using the unscented transformation Daniel Augusto de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos |
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Poster
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Wed 6:00 |
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification Zhuo Sun · Jijie Wu · Xiaoxu Li · Wenming Yang · Jing-Hao Xue |
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Poster
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Wed 12:45 |
Provable Hierarchical Imitation Learning via EM Zhiyu Zhang · Ioannis Paschalidis |
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Poster
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Tue 18:30 |
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels Roberto Vega · Pouneh Gorji · Zichen Zhang · Xuebin Qin · Abhilash Rakkunedeth · Jeevesh Kapur · Jacob Jaremko · Russell Greiner |
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Poster
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Wed 6:00 |
Fisher Auto-Encoders Khalil Elkhalil · Ali Hasan · Jie Ding · Sina Farsiu · Vahid Tarokh |
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Poster
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Wed 12:45 |
Automatic Differentiation Variational Inference with Mixtures Warren Morningstar · Sharad Vikram · Cusuh Ham · Andrew Gallagher · Joshua Dillon |
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Poster
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Tue 14:00 |
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo |
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Poster
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Wed 6:00 |
Inference in Stochastic Epidemic Models via Multinomial Approximations Nick Whiteley · Lorenzo Rimella |
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Poster
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Thu 7:30 |
Latent Gaussian process with composite likelihoods and numerical quadrature Siddharth Ramchandran · Miika Koskinen · Harri Lähdesmäki |
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Poster
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Tue 18:30 |
RankDistil: Knowledge Distillation for Ranking Sashank Reddi · Rama Kumar Pasumarthi · Aditya Menon · Ankit Singh Rawat · Felix Yu · Seungyeon Kim · Andreas Veit · Sanjiv Kumar |
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Poster
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Thu 7:30 |
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo Matthew Hoffman · Alexey Radul · Pavel Sountsov |
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Poster
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Wed 6:00 |
Aggregating Incomplete and Noisy Rankings Dimitris Fotakis · Alkis Kalavasis · Konstantinos Stavropoulos |