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12 Results
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Poster
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Tue 17:30 |
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes Creighton Heaukulani · Mark van der Wilk |
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Poster
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Wed 10:45 |
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees Alix LHERITIER · Frederic Cazals |
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Poster
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Tue 17:30 |
Poisson-Randomized Gamma Dynamical Systems Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach |
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Poster
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Wed 10:45 |
Random Tessellation Forests Shufei Ge · Shijia Wang · Yee Whye Teh · Liangliang Wang · Lloyd Elliott |
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Poster
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Tue 10:45 |
Debiased Bayesian inference for average treatment effects Kolyan Ray · Botond Szabo |
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Poster
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Wed 17:00 |
Function-Space Distributions over Kernels Gregory Benton · Wesley Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson |
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Poster
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Wed 10:45 |
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann |
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Poster
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Thu 17:00 |
Bayesian Optimization with Unknown Search Space Huong Ha · Santu Rana · Sunil Gupta · Thanh Nguyen-Tang · Hung Tran-The · Svetha Venkatesh |
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Poster
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Wed 17:00 |
Reconciling meta-learning and continual learning with online mixtures of tasks Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller |
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Poster
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Wed 10:45 |
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull |
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Poster
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Wed 10:45 |
Scalable inference of topic evolution via models for latent geometric structures Mikhail Yurochkin · Zhiwei Fan · Aritra Guha · Paraschos Koutris · XuanLong Nguyen |
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Poster
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Tue 17:30 |
Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang |