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Oral
Tue Dec 05 04:20 PM -- 04:35 PM (PST) @ Hall C
A Linear-Time Kernel Goodness-of-Fit Test
In
Algorithms
Oral
Tue Dec 05 04:35 PM -- 04:50 PM (PST) @ Hall C
Generalization Properties of Learning with Random Features
In
Algorithms
Oral
Tue Dec 05 04:50 PM -- 05:05 PM (PST) @ Hall C
Communication-Efficient Distributed Learning of Discrete Distributions
In
Algorithms
Spotlight
Tue Dec 05 05:05 PM -- 05:10 PM (PST) @ Hall C
Posterior sampling for reinforcement learning: worst-case regret bounds
In
Algorithms
Spotlight
Tue Dec 05 05:10 PM -- 05:15 PM (PST) @ Hall C
Regret Analysis for Continuous Dueling Bandit
In
Algorithms
Spotlight
Tue Dec 05 05:15 PM -- 05:20 PM (PST) @ Hall C
Minimal Exploration in Structured Stochastic Bandits
In
Algorithms
Spotlight
Tue Dec 05 05:20 PM -- 05:25 PM (PST) @ Hall C
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
In
Algorithms
Spotlight
Tue Dec 05 05:25 PM -- 05:30 PM (PST) @ Hall C
Diving into the shallows: a computational perspective on large-scale shallow learning
In
Algorithms
Spotlight
Tue Dec 05 05:30 PM -- 05:35 PM (PST) @ Hall C
Monte-Carlo Tree Search by Best Arm Identification
In
Algorithms
Spotlight
Tue Dec 05 05:35 PM -- 05:40 PM (PST) @ Hall C
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
In
Algorithms
Spotlight
Tue Dec 05 05:40 PM -- 05:45 PM (PST) @ Hall C
Parameter-Free Online Learning via Model Selection
In
Algorithms
Spotlight
Tue Dec 05 05:45 PM -- 05:50 PM (PST) @ Hall C
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
In
Algorithms
Spotlight
Tue Dec 05 05:50 PM -- 05:55 PM (PST) @ Hall C
Gaussian Quadrature for Kernel Features
In
Algorithms
Spotlight
Tue Dec 05 05:55 PM -- 06:00 PM (PST) @ Hall C
Online Learning of Linear Dynamical Systems
In
Algorithms