Sattar Vakili
Sattar Vakili
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Deterministic sequencing of exploration and exploitation for multi-armed bandit problems
S Vakili, K Liu, Q Zhao
IEEE Journal of Selected Topics in Signal Processing 7 (5), 759-767, 2013
922013
Risk-averse multi-armed bandit problems under mean-variance measure
S Vakili, Q Zhao
IEEE Journal of Selected Topics in Signal Processing 10 (6), 1093-1111, 2016
502016
Mean-variance and value at risk in multi-armed bandit problems
S Vakili, Q Zhao
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
202015
Achieving complete learning in multi-armed bandit problems
S Vakili, Q Zhao
2013 Asilomar Conference on Signals, Systems and Computers, 1778-1782, 2013
102013
Adaptive sensor placement for continuous spaces
JA Grant, A Boukouvalas, RR Griffiths, DS Leslie, S Vakili, EM De Cote
http://proceedings.mlr.press/v97/grant19a.html 97, 2385-2393, 2019
92019
A random walk approach to first-order stochastic convex optimization
S Vakili, Q Zhao
2019 IEEE International Symposium on Information Theory (ISIT), 395-399, 2019
62019
Hierarchical heavy hitter detection under unknown models
S Vakili, Q Zhao, C Liu, CN Chuah
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
Risk-averse online learning under mean-variance measures
S Vakili, Q Zhao
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
52015
Time-varying stochastic multi-armed bandit problems
S Vakili, Q Zhao, Y Zhou
2014 48th Asilomar Conference on Signals, Systems and Computers, 2103-2107, 2014
52014
Decision variance in risk-averse online learning
S Vakili, A Boukouvalas, Q Zhao
2019 IEEE 58th Conference on Decision and Control (CDC), 2738-2744, 2019
42019
Online learning with side information
X Xu, S Vakili, Q Zhao, A Swami
MILCOM 2017-2017 IEEE Military Communications Conference (MILCOM), 303-308, 2017
42017
Stochastic online learning for network optimization under random unknown weights
K Liu, Q Zhao, S Vakili
Working paper, 2012
42012
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization
S Vakili, S Salgia, Q Zhao
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
32019
On information gain and regret bounds in Gaussian process bandits
S Vakili, K Khezeli, V Picheny
International Conference on Artificial Intelligence and Statistics, 82-90, 2021
22021
Regret Bounds for Noise-Free Bayesian Optimization
S Vakili, V Picheny, N Durrande
arXiv preprint arXiv:2002.05096, 2020
22020
Multi-Armed Bandits on Partially Revealed Unit Interval Graphs
X Xu, S Vakili, Q Zhao, A Swami
IEEE Transactions on Network Science and Engineering 7 (3), 1453-1465, 2019
22019
Bayesian quickest short-term voltage instability detection in power systems
S Vakili, Q Zhao, L Tong
2015 54th IEEE Conference on Decision and Control (CDC), 7214-7219, 2015
22015
Amortized variance reduction for doubly stochastic objective
A Boustati, S Vakili, J Hensman, ST John
Conference on Uncertainty in Artificial Intelligence, 61-70, 2020
12020
Scalable Thompson Sampling using Sparse Gaussian Process Models
S Vakili, V Picheny, A Artem
https://arxiv.org/abs/2006.05356, 2020
12020
Ordinal Bayesian Optimisation
V Picheny, S Vakili, A Artemev
arXiv preprint arXiv:1912.02493, 2019
12019
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Articles 1–20