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 Wed Dec 06, 2017

Time Hall A
10:20 AM (Orals)
Theory, Probabilistic Methods
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
10:35 AM (Orals)
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
10:50 AM (Orals)
Variance-based Regularization with Convex Objectives
11:05 AM (Orals)
Online control of the false discovery rate with decaying memory
11:20 AM (Spotlights)
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
11:25 AM (Spotlights)
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
11:30 AM (Spotlights)
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
11:35 AM (Spotlights)
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
11:40 AM (Spotlights)
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
11:45 AM (Spotlights)
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
11:50 AM (Spotlights)
Spectrally-normalized margin bounds for neural networks
11:55 AM (Spotlights)
The Scaling Limit of High-Dimensional Online Independent Component Analysis