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02/13/2022
Learning from Randomly Initialized Neural Network Features
We present the surprising result that randomly initialized neural networ...
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07/05/2021
Robust Online Convex Optimization in the Presence of Outliers
We consider online convex optimization when a number k of data points ar...
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10/16/2020
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer
It was conjectured that any neural network of any structure and arbitrar...
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05/29/2019
Learning to Crawl
Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...
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02/20/2019
Adaptive scale-invariant online algorithms for learning linear models
We consider online learning with linear models, where the algorithm pred...
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02/08/2019
Bandit Principal Component Analysis
We consider a partial-feedback variant of the well-studied online PCA pr...
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02/21/2018
The Many Faces of Exponential Weights in Online Learning
A standard introduction to online learning might place Online Gradient D...
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08/23/2017
Scale-invariant unconstrained online learning
We consider a variant of online convex optimization in which both the in...
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03/14/2016
Online Isotonic Regression
We consider the online version of the isotonic regression problem. Given...
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06/16/2015
PCA with Gaussian perturbations
Most of machine learning deals with vector parameters. Ideally we would ...
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05/19/2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
We study online learning under logarithmic loss with regular parametric ...
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06/27/2012