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Poster
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Mon 9:00
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Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
jean barbier · Mohamad Dia · Nicolas Macris · Florent Krzakala · Thibault Lesieur · Lenka Zdeborová
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Poster
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Mon 9:00
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Flexible Models for Microclustering with Application to Entity Resolution
Brenda Betancourt · Giacomo Zanella · Jeffrey Miller · Hanna Wallach · Abbas Zaidi · Beka Steorts
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Poster
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Mon 9:00
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Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
Travis Monk · Cristina Savin · Jörg Lücke
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Poster
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Mon 9:00
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Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
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Poster
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Mon 9:00
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Computing and maximizing influence in linear threshold and triggering models
Justin Khim · Varun Jog · Po-Ling Loh
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Poster
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Mon 9:00
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Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu Jain · Martha White · Predrag Radivojac
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Poster
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Mon 9:00
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Bootstrap Model Aggregation for Distributed Statistical Learning
JUN HAN · Qiang Liu
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Poster
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Mon 9:00
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Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
Rong Zhu
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Poster
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Mon 9:00
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Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
Juho Lee · Lancelot F James · Seungjin Choi
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Workshop
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Sat 0:50
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Automatic Discovery of the Statistical Types of Variables in a Dataset
Isabel Valera · Zoubin Ghahramani
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Poster
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Mon 9:00
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Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Veeranjaneyulu Sadhanala · Yu-Xiang Wang · Ryan Tibshirani
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