Neal Parikh
Neal Parikh
NYC Mayor's Office
Verified email at nparikh.org - Homepage
Title
Cited by
Cited by
Year
Distributed optimization and statistical learning via the alternating direction method of multipliers
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
Foundations and Trends in Machine Learning 3 (1), 1-122, 2011
147912011
Proximal Algorithms
N Parikh, S Boyd
Foundations and Trends in Optimization 1 (3), 2014
33752014
Conic optimization via operator splitting and homogeneous self-dual embedding
B O’donoghue, E Chu, N Parikh, S Boyd
Journal of Optimization Theory and Applications 169 (3), 1042-1068, 2016
395*2016
Block Splitting for Distributed Optimization
N Parikh, S Boyd
Mathematical Programming Computation, 2013
1152013
SCS: Splitting conic solver, version 2.0. 2
B O’Donoghue, E Chu, N Parikh, S Boyd
2, 2017
702017
Code Generation for Embedded Second-Order Cone Programming
E Chu, N Parikh, A Domahidi, S Boyd
European Control Conference, 0
48*
Matlab scripts for alternating direction method of multipliers
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
Technical Report, Technical Report, 2012
142012
A primal-dual operator splitting method for conic optimization
E Chu, B O’Donoghue, N Parikh, S Boyd
Stanford Internal Report, 2013
132013
Block Splitting for Large-Scale Distributed Learning
N Parikh, S Boyd
92011
Foundations and TrendsŪ in Optimization
S Boyd, MT Mueller, B O’Donoghue, Y Wang
Foundations and TrendsŪ in Stochastic Systems 1 (4), 2014
12014
Presented by: Anis Elgabli, Amir Daneshmand
S Boyd, N Parikh, ECB Peleato, J Eckstein
2016
Errata for ‘Proximal Algorithms’
N Parikh, S Boyd
2014
LATEX Style Guide for EE 364B
S Boyd, EK Ryu, N Parikh
2014
Distributed Convex Optimization with Proximal Methods
N Parikh
Stanford University, 2014
2014
Graphical Models for Primarily Unsupervised Sequence Labeling
N Parikh, M Dredze
2007
NOTES ON TYPES AND PROGRAMMING LANGUAGES
N Parikh
2004
Convex Optimization: from Real-Time Embedded to Large-Scale Distributed
S Boyd, N Parikh, E Chu, Y Wang, J Mattingley
Using the Foundations and Trends LaTeX Macros
N Parikh, S Boyd
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