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Oral
Wed Dec 06 10:20 AM -- 10:35 AM (PST) @ Hall A
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
In Theory, Probabilistic Methods
Anton Osokin · Francis Bach · Simon Lacoste-Julien
Oral
Wed Dec 06 10:35 AM -- 10:50 AM (PST) @ Hall A
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
In Theory, Probabilistic Methods
George Tucker · Andriy Mnih · Chris J Maddison · John Lawson · Jascha Sohl-Dickstein
Oral
Wed Dec 06 10:50 AM -- 11:05 AM (PST) @ Hall A
Variance-based Regularization with Convex Objectives
In Theory, Probabilistic Methods
Hongseok Namkoong · John Duchi
Oral
Wed Dec 06 11:05 AM -- 11:20 AM (PST) @ Hall A
Online control of the false discovery rate with decaying memory
In Theory, Probabilistic Methods
Aaditya Ramdas · Fanny Yang · Martin Wainwright · Michael Jordan
Spotlight
Wed Dec 06 11:20 AM -- 11:25 AM (PST) @ Hall A
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
In Theory, Probabilistic Methods
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Spotlight
Wed Dec 06 11:25 AM -- 11:30 AM (PST) @ Hall A
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
In Theory, Probabilistic Methods
Jeffrey Regier · Michael Jordan · Jon McAuliffe
Spotlight
Wed Dec 06 11:30 AM -- 11:35 AM (PST) @ Hall A
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
In Theory, Probabilistic Methods
Ashkan Panahi · Babak Hassibi
Spotlight
Wed Dec 06 11:35 AM -- 11:40 AM (PST) @ Hall A
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
In Theory, Probabilistic Methods
Marco Fraccaro · Simon Kamronn · Ulrich Paquet · Ole Winther
Spotlight
Wed Dec 06 11:40 AM -- 11:45 AM (PST) @ Hall A
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
In Theory, Probabilistic Methods
Chaobing Song · Shaobo Cui · Yong Jiang · Shu-Tao Xia
Spotlight
Wed Dec 06 11:45 AM -- 11:50 AM (PST) @ Hall A
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
In Theory, Probabilistic Methods
Yuting Wei · Fanny Yang · Martin Wainwright
Spotlight
Wed Dec 06 11:50 AM -- 11:55 AM (PST) @ Hall A
Spectrally-normalized margin bounds for neural networks
In Theory, Probabilistic Methods
Peter Bartlett · Dylan J Foster · Matus Telgarsky
Spotlight
Wed Dec 06 11:55 AM -- 12:00 PM (PST) @ Hall A
The Scaling Limit of High-Dimensional Online Independent Component Analysis
In Theory, Probabilistic Methods
Chuang Wang · Yue Lu