Paul Grigas
Paul Grigas
Assistant Professor, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
New analysis and results for the Frank–Wolfe method
RM Freund, P Grigas
Mathematical Programming 155 (1-2), 199-230, 2016
138*2016
Smart "Predict, then Optimize"
AN Elmachtoub, P Grigas
arXiv preprint arXiv:1710.08005, 2017
111*2017
An Extended Frank--Wolfe Method with “In-Face” Directions, and Its Application to Low-Rank Matrix Completion
RM Freund, P Grigas, R Mazumder
SIAM Journal on optimization 27 (1), 319-346, 2017
762017
A new perspective on boosting in linear regression via subgradient optimization and relatives
RM Freund, P Grigas, R Mazumder
Annals of Statistics 45 (6), 2328-2364, 2017
242017
Generalization bounds in the predict-then-optimize framework
OE Balghiti, AN Elmachtoub, P Grigas, A Tewari
arXiv preprint arXiv:1905.11488, 2019
162019
Profit maximization for online advertising demand-side platforms
P Grigas, A Lobos, Z Wen, K Lee
Proceedings of the ADKDD'17, 1-7, 2017
72017
Adaboost and forward stagewise regression are first-order convex optimization methods
RM Freund, P Grigas, R Mazumder
arXiv preprint arXiv:1307.1192, 2013
72013
Incremental Forward Stagewise Regression: Computational Complexity and Connections to LASSO
RM Freund, P Grigas, R Mazumder
URL http://www. esat. keluwen. be/sista/ROKS2013. Available on-line, 2013
42013
Condition number analysis of logistic regression, and its implications for standard first-order solution methods
RM Freund, P Grigas, R Mazumder
arXiv preprint arXiv:1810.08727, 2018
22018
Optimal bidding, allocation and budget spending for a demand side platform under many auction types
A Lobos, P Grigas, Z Wen, K Lee
arXiv preprint arXiv:1805.11645, 2018
22018
Stochastic in-face frank-wolfe methods for non-convex optimization and sparse neural network training
P Grigas, A Lobos, N Vermeersch
arXiv preprint arXiv:1906.03580, 2019
12019
Methods for convex optimization and statistical learning
PPE Grigas
Massachusetts Institute of Technology, 2016
12016
Optimal Bidding, Allocation, and Budget Spending for a Demand-Side Platform with Generic Auctions
P Grigas, A Lobos, Z Wen, KC Lee
Allocation, and Budget Spending for a Demand-Side Platform with Generic …, 2021
2021
Joint Online Learning and Decision-making via Dual Mirror Descent
A Lobos, P Grigas, Z Wen
arXiv preprint arXiv:2104.09750, 2021
2021
New Methods for Regularization Path Optimization via Differential Equations
H Liu, P Grigas
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Articles 1–15