Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 217,797,804 papers from all fields of science
Search
Sign In
Create Free Account
Convex optimization
Known as:
Convex programming
, Convex optimization problem
, Convex problem
Expand
Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. The convexity property can make…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
48 relations
Backpropagation
Barrier function
Bregman method
Characteristic function (convex analysis)
Expand
Broader (1)
Convex analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Meta-Learning With Differentiable Convex Optimization
Kwonjoon Lee
,
Subhransu Maji
,
Avinash Ravichandran
,
Stefano Soatto
Computer Vision and Pattern Recognition
2019
Corpus ID: 102351194
Many meta-learning approaches for few-shot learning rely on simple base learners such as nearest-neighbor classifiers. However…
Expand
Highly Cited
2016
Highly Cited
2016
Introduction to Online Convex Optimization
Elad Hazan
Found. Trends Optim.
2016
Corpus ID: 30482768
This monograph portrays optimization as a process. In many practical applications the environment is so complex that it is…
Expand
Highly Cited
2014
Highly Cited
2014
Introductory Lectures on Convex Optimization - A Basic Course
Y. Nesterov
Applied Optimization
2014
Corpus ID: 62288331
It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. The…
Expand
Review
2012
Review
2012
Online Learning and Online Convex Optimization
Shai Shalev-Shwartz
Found. Trends Mach. Learn.
2012
Corpus ID: 51730029
Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online…
Expand
Highly Cited
2009
Highly Cited
2009
Sensor Selection via Convex Optimization
S. Joshi
,
Stephen P. Boyd
IEEE Transactions on Signal Processing
2009
Corpus ID: 9023820
We consider the problem of choosing a set of k sensor measurements, from a set of m possible or potential sensor measurements…
Expand
Highly Cited
2008
Highly Cited
2008
Exact Matrix Completion via Convex Optimization
E. Candès
,
B. Recht
Foundations of Computational Mathematics
2008
Corpus ID: 8061516
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose…
Expand
Highly Cited
2006
Highly Cited
2006
Logarithmic regret algorithms for online convex optimization
Elad Hazan
,
A. Agarwal
,
Satyen Kale
Machine-mediated learning
2006
Corpus ID: 11569359
Abstract In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of…
Expand
Highly Cited
2004
Highly Cited
2004
Convex Optimization
Stephen P. Boyd
,
L. Vandenberghe
IEEE Transactions on Automatic Control
2004
Corpus ID: 268925835
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book…
Expand
Review
2001
Review
2001
Lectures on modern convex optimization - analysis, algorithms, and engineering applications
A. Ben-Tal
,
Arkadiaei Semenovich Nemirovskiaei
MPS-SIAM series on optimization
2001
Corpus ID: 260781848
This is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic…
Expand
Highly Cited
1998
Highly Cited
1998
Robust Convex Optimization
A. Ben-Tal
,
A. Nemirovski
Mathematics of Operations Research
1998
Corpus ID: 15905691
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE