X Efficient Market Making via Convex Optimization, and a Connection to Online Learning Jacob Abernethy, University of Pennsylvania Yiling Chen, Harvard University Jennifer Wortman Vaughan, University of California, Los A

Source URL: www.jennwv.com

SUBMITTED TO IEEE TRANS. ON SIGNAL PROCESSING 1 Fault Identification via Non-parametric Belief Propagation

Source URL: select.cs.cmu.edu

• Mathematics
• Operations research
• Coding theory
• Discrete mathematics
• Mathematical analysis
• Convex optimization
• Belief propagation
• Probability theory
• Semidefinite programming
• Linear programming
• Low-density parity-check code
• Matrix

CCCG 2007, Ottawa, Ontario, August 20–22, 2007 Disjoint Segments have Convex Partitions with 2-Edge Connected Dual Graphs Nadia M. Benbernou∗

Source URL: www.eecs.tufts.edu

• Planar graphs
• Graph connectivity
• Graph operations
• Dual graph
• Line segment
• Cut
• Convex set
• Connectivity
• Graph
• Bridge
• Planar separator theorem
• Circle packing theorem

ON THE LASSERRE HIERARCHY OF SEMIDEFINITE PROGRAMMING RELAXATIONS OF CONVEX POLYNOMIAL OPTIMIZATION PROBLEMS ETIENNE DE KLERK∗ AND MONIQUE LAURENT† Abstract. The Lasserre hierarchy of semidefinite programming approxi

Source URL: homepages.cwi.nl

The Complete Mixability and Convex Minimization Problems with Monotone Marginal Densities Bin Wang∗ and Ruodu Wang† May 9, 2011 Abstract

Source URL: sas.uwaterloo.ca

• Mathematical analysis
• Statistics
• Probability
• Probability distributions
• Statistical theory
• Binomial distribution
• Distribution
• Expected value
• Completeness

NEIGHBORLINESS OF THE SYMMETRIC MOMENT CURVE Alexander Barvinok, Seung Jin Lee, and Isabella Novik November 2011 Abstract. We consider the convex hull Bk of the symmetric moment curve Uk (t) =

Source URL: www.math.lsa.umich.edu

• Mathematical analysis
• Sine
• Complex analysis
• Exponentials
• Chebyshev polynomials

Interpreting Latent Variables in Factor Models via Convex Optimization Armeen Taeb †

Source URL: users.cms.caltech.edu

Journal of Machine Learning Research1200 Submitted 11/08; Revised 11/09; Published 3/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

Source URL: nic.schraudolph.org

Convex block-sparse linear regression with expanders – provably 9 Appendix

Source URL: jmlr.org

Journal of Machine Learning Research2720 Submitted 4/11; Revised 8/11; Published 9/11 Convex and Network Flow Optimization for Structured Sparsity Julien Mairal∗ †

Source URL: www.jmlr.org