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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh Abadeh · Peyman Esfahani · Daniel Kuhn
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
On some provably correct cases of variational inference for topic models
Pranjal Awasthi · Andrej Risteski
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin · Aurélien Bellet · Joseph Salmon · Stéphan Clémençon
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan · Thorsten Joachims
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol · Chris Oates · Mark Girolami · Michael A Osborne
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
Murat Erdogdu
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian · Yijun Huang · Yuncheng Li · Ji Liu
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Tue Dec 08 08:35 AM -- 09:00 AM (PST) @ Room 210 A
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman · Amin Karbasi · Ashwinkumar Badanidiyuru · Andreas Krause
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