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Oral
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Tue 8:20
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Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
Ji Xu · Daniel Hsu · Arian Maleki
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Oral
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Tue 2:40
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Bayesian Intermittent Demand Forecasting for Large Inventories
Matthias W Seeger · David Salinas · Valentin Flunkert
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Poster
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Wed 9:00
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Multi-step learning and underlying structure in statistical models
Maia Fraser
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Poster
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Wed 9:00
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Estimating the Size of a Large Network and its Communities from a Random Sample
Lin Chen · Amin Karbasi · Forrest W. Crawford
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Poster
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Wed 9:00
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Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao · Sewoong Oh · Pramod Viswanath
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Poster
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Wed 9:00
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Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya Tolstikhin · Bharath Sriperumbudur · Bernhard Schölkopf
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Poster
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Wed 9:00
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The Power of Adaptivity in Identifying Statistical Alternatives
Kevin Jamieson · Daniel Haas · Benjamin Recht
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Poster
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Wed 9:00
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Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
Gang Wang · Georgios Giannakis
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Poster
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Wed 9:00
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The Robustness of Estimator Composition
Pingfan Tang · Jeff M Phillips
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Poster
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Wed 9:00
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Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee · John Duchi · John Lafferty · Yuancheng Zhu
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Poster
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Wed 9:00
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A Communication-Efficient Parallel Algorithm for Decision Tree
Qi Meng · Guolin Ke · Taifeng Wang · Wei Chen · Qiwei Ye · Zhi-Ming Ma · Tie-Yan Liu
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Workshop
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Fri 7:35
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Lucas Janson. Model-free knockoffs: statistical tools for reproducible selections
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