Seuraa
Neal Parikh
Neal Parikh
Columbia University
Vahvistettu sähköpostiosoite verkkotunnuksessa nparikh.org - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
220682011
Proximal Algorithms
N Parikh, S Boyd
Foundations and Trends in Optimization 1 (3), 2014
51372014
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, 1042-1068, 2016
7182016
Block Splitting for Distributed Optimization
N Parikh, S Boyd
Mathematical Programming Computation, 2013
1462013
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
doi. org/10.1561/2200000016, 2011
1262011
SCS: Splitting conic solver, version 2.0. 2
B O’Donoghue, E Chu, N Parikh, S Boyd
2, 2017
1142017
Code Generation for Embedded Second-Order Cone Programming
E Chu, N Parikh, A Domahidi, S Boyd
European Control Conference, 0
58*
Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends® in Machine Learning 3 (1): 1–122
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
Nature methods 9, 173-175, 2011
552011
A primal-dual operator splitting method for conic optimization
E Chu, B O’Donoghue, N Parikh, S Boyd
Tech. Rep., Stanford Internal Report, 2013
182013
Matlab scripts for alternating direction method of multipliers
S Boyd, N Parikh, E Chu, B Peleato, J Eckstein
Online] http://stanford. edu/∼ boyd/papers/admm, 2012
162012
Block Splitting for Large-Scale Distributed Learning
N Parikh, S Boyd
92011
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
Graphical Models, 2007
2007
NOTES ON TYPES AND PROGRAMMING LANGUAGES
N PARIKH
2004
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20