Santiago Paternain
Title
Cited by
Cited by
Year
Prediction-correction interior-point method for time-varying convex optimization
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
IEEE Transactions on Automatic Control 63 (7), 1973-1986, 2017
752017
Navigation Functions for Convex Potentials in a Space with Convex Obstacles
S Paternain, DE Koditschek, A Ribeiro
IEEE Transactions on Automatic Control, 2015
502015
Constrained reinforcement learning has zero duality gap
S Paternain, LFO Chamon, M Calvo-Fullana, A Ribeiro
arXiv preprint arXiv:1910.13393, 2019
422019
Design and implementation of sensor data fusion for an autonomous quadrotor
M Tailanián, S Paternain, R Rosa, R Canetti
2014 IEEE International Instrumentation and Measurement Technology …, 2014
412014
A Newton-based method for nonconvex optimization with fast evasion of saddle points
S Paternain, A Mokhtari, A Ribeiro
SIAM Journal on Optimization 29 (1), 343-368, 2019
39*2019
Decentralized online learning with kernels
A Koppel, S Paternain, C Richard, A Ribeiro
IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018
372018
Online Learning of Feasible Strategies in Unknown Environments
A Paternain, Santiago: Ribeiro
IEEE Transactions on Automatic Control 62 (6), 2807-2822, 2017
32*2017
Online Learning of Feasible Strategies in Unknown Environments
S Paternain, A Ribeiro
American Control Conference (ACC), 4231-4238, 2015
322015
Time-varying convex optimization: Time-structured algorithms and applications
A Simonetto, E Dall'Anese, S Paternain, G Leus, GB Giannakis
Proceedings of the IEEE 108 (11), 2032-2048, 2020
292020
Interior point method for dynamic constrained optimization in continuous time
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
2016 American Control Conference (ACC), 5612-5618, 2016
262016
Safe policies for reinforcement learning via primal-dual methods
S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro
arXiv preprint arXiv:1911.09101, 2019
202019
Stochastic policy gradient ascent in reproducing kernel hilbert spaces
S Paternain, J Bazerque, A Small, A Ribeiro
IEEE Transactions on Automatic Control, 2020
152020
A prediction-correction method for model predictive control
S Paternain, M Morari, A Ribeiro
2018 Annual American Control Conference (ACC), 4189-4194, 2018
112018
Learning safe policies via primal-dual methods
S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro
2019 IEEE 58th Conference on Decision and Control (CDC), 6491-6497, 2019
102019
Stochastic control foundations of autonomous behavior
S Paternain
University of Pennsylvania, 2018
92018
Stochastic Artificial Potentials for Online Safe Navigation
S Paternain, A Ribeiro
92016
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
IEEE Transactions on Signal Processing 68, 3486-3499, 2020
82020
Calibration of an inertial measurement unit
S Paternain, M Tailanián, R Canetti
2013 16th International Conference on Advanced Robotics (ICAR), 1-6, 2013
82013
Distributed smooth and strongly convex optimization with inexact dual methods
M Fazlyab, S Paternain, A Ribeiro, VM Preciado
2018 Annual American Control Conference (ACC), 3768-3773, 2018
72018
Sparse learning of parsimonious reproducing kernel Hilbert space models
M Peifer, LFO Chamon, S Paternain, A Ribeiro
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
62019
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