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Information-theoretic lower bounds on the oracle complexity of
  stochastic convex optimization

Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

3 September 2010
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization"

3 / 3 papers shown
Title
Stochastic Halpern iteration in normed spaces and applications to reinforcement learning
Stochastic Halpern iteration in normed spaces and applications to reinforcement learning
Mario Bravo
Juan Pablo Contreras
63
3
0
19 Mar 2024
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Yutong He
Xinmeng Huang
Yiming Chen
W. Yin
Kun Yuan
55
7
0
12 May 2023
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
163
575
0
11 Oct 2009
1