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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
183272011
Proximal Algorithms
N Parikh, S Boyd
Foundations and Trends in Optimization 1 (3), 2014
41792014
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
5362016
Block Splitting for Distributed Optimization
N Parikh, S Boyd
Mathematical Programming Computation, 2013
1322013
SCS: Splitting conic solver, version 2.0. 2
B O’Donoghue, E Chu, N Parikh, S Boyd
2, 2017
1142017
Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3 (1): 1–122
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
K. Brodmann, Vergleichende Lokalisationslehre der Großhirnrinde in ihren …, 2011
822011
Proximal algorithms
S Boyd, N Parikh
Foundations and Trends in optimization 1 (3), 127239, 2014
622014
Code Generation for Embedded Second-Order Cone Programming
E Chu, N Parikh, A Domahidi, S Boyd
European Control Conference, 0
56*
A primal-dual operator splitting method for conic optimization
E Chu, B O’Donoghue, N Parikh, S Boyd
Stanford Internal Report, 2013
162013
Matlab scripts for alternating direction method of multipliers
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
Technical Report, Technical Report, 2012
162012
Block Splitting for Large-Scale Distributed Learning
N Parikh, S Boyd
102011
NYC AI Primer
N Parikh, A Hohman
https://nparikh.org/publications/nyc_ai_primer/, 2021
2021
NYC AI Strategy
N Parikh, A Hohman
https://nparikh.org/publications/nyc_ai_strategy/, 2021
2021
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
CS 228T: A BIRD’S EYE VIEW
N PARIKH
2011
Graphical Models for Primarily Unsupervised Sequence Labeling
N Parikh, M Dredze
2007
NOTES ON TYPES AND PROGRAMMING LANGUAGES
N Parikh
2004
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