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20082026
most citedGaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

989 citations · 6.1k across the 184 of their papers we have counts for

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Showing 2016 · cs.LGShow all

5 papers · 2 filters

cs.LG2016★ 6 cited

Prediction with a Short Memory

Vatsal Sharan, Sham Kakade, Percy Liang +1

We consider the problem of predicting the next observation given a sequence of past observations, and consider the extent to which accurate prediction requires complex algorithms t…

cs.LG2016★ 8 cited

Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis

Rong Ge, Chi Jin, Sham M. Kakade +2

This paper considers the problem of canonical-correlation analysis (CCA) (Hotelling, 1936) and, more broadly, the generalized eigenvector problem for a pair of symmetric matrices.…

cs.LG2016★ 41 cited

Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent

Chi Jin, Sham M. Kakade, Praneeth Netrapalli

Matrix completion, where we wish to recover a low rank matrix by observing a few entries from it, is a widely studied problem in both theory and practice with wide applications. Mo…

cs.LG2016★ 13 cited

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm

Prateek Jain, Chi Jin, Sham M. Kakade +2

This work provides improved guarantees for streaming principle component analysis (PCA). Given sampled independently from distributions…

cs.LG2016★ 4 cited

Recovering Structured Probability Matrices

Qingqing Huang, Sham M. Kakade, Weihao Kong +1

We consider the problem of accurately recovering a matrix B of size M by M , which represents a probability distribution over M2 outcomes, given access to an observed matrix of "co…