Straipsniai su viešo pasiekiamumo įpareigojimais - R. SrikantSužinokite daugiau
Niekur nepasiekiama: 8
Correcting the output of approximate graph matching algorithms
J Lubars, R Srikant
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1745-1753, 2018
Įpareigojimai: US National Science Foundation
Convergence rate of distributed subgradient methods under communication delays
TT Doan, CL Beck, R Srikant
2018 Annual American Control Conference (ACC), 5310-5315, 2018
Įpareigojimai: US National Science Foundation, US Department of Defense
The Role of Regularization in Overparameterized Neural Networks*
S Satpathi, H Gupta, S Liang, R Srikant
2020 59th IEEE Conference on Decision and Control (CDC), 4683-4688, 2020
Įpareigojimai: US National Science Foundation, US Department of Defense, US Department of …
Convergence rate of distributed random projections
TT Doan, J Lubars, CL Beck, R Srikant
IFAC-PapersOnLine 51 (23), 373-378, 2018
Įpareigojimai: US National Science Foundation
Performance bounds for policy-based reinforcement learning methods in zero-sum markov games with linear function approximation
A Winnicki, R Srikant
2023 62nd IEEE Conference on Decision and Control (CDC), 7144-7149, 2023
Įpareigojimai: US National Science Foundation, US Department of Defense
Controlled link shedding for maximizing supportable demand of a disrupted power network
H Kesavareddigari, A Eryilmaz, R Srikant
2016 IEEE 55th Conference on Decision and Control (CDC), 6972-6977, 2016
Įpareigojimai: US National Science Foundation
Convergence Rate of Distributed Consensus with Nonuniform Delays
TT Doan, CL Beck, R Srikant
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1294-1298, 2018
Įpareigojimai: US National Science Foundation, US Department of Defense
Structure identification in layered precedence networks
ST Kong, D Katselis, CL Beck, R Srikant
2017 IEEE Conference on Control Technology and Applications (CCTA), 1177-1182, 2017
Įpareigojimai: US National Science Foundation
Kur nors pasiekiama: 58
Finite-time error bounds for linear stochastic approximation andtd learning
R Srikant, L Ying
Conference on Learning Theory, 2803-2830, 2019
Įpareigojimai: US National Science Foundation, US Department of Agriculture
The power of slightly more than one sample in randomized load balancing
L Ying, R Srikant, X Kang
Mathematics of Operations Research 42 (3), 692-722, 2017
Įpareigojimai: US National Science Foundation, US Department of Defense
Finite-time performance bounds and adaptive learning rate selection for two time-scale reinforcement learning
H Gupta, R Srikant, L Ying
Advances in neural information processing systems 32, 2019
Įpareigojimai: US National Science Foundation, US Department of Defense, US Department of …
Adding one neuron can eliminate all bad local minima
S Liang, R Sun, JD Lee, R Srikant
Advances in Neural Information Processing Systems 31, 2018
Įpareigojimai: US National Science Foundation, US Department of Agriculture
Understanding the loss surface of neural networks for binary classification
S Liang, R Sun, Y Li, R Srikant
International Conference on Machine Learning, 2835-2843, 2018
Įpareigojimai: US National Science Foundation
Heavy traffic queue length behavior in a switch under the MaxWeight algorithm
ST Maguluri, R Srikant
Stochastic Systems 6 (1), 211-250, 2016
Įpareigojimai: US National Science Foundation
Low-complexity, low-regret link rate selection in rapidly-varying wireless channels
H Gupta, A Eryilmaz, R Srikant
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 540-548, 2018
Įpareigojimai: US National Science Foundation
On projected stochastic gradient descent algorithm with weighted averaging for least squares regression
K Cohen, A Nedić, R Srikant
IEEE Transactions on Automatic Control 62 (11), 5974-5981, 2017
Įpareigojimai: US National Science Foundation, US Department of Defense
Distributed learning algorithms for spectrum sharing in spatial random access wireless networks
K Cohen, A Nedić, R Srikant
IEEE Transactions on Automatic Control 62 (6), 2854-2869, 2016
Įpareigojimai: US National Science Foundation
Mean-field-analysis of coding versus replication in cloud storage systems
B Li, A Ramamoorthy, R Srikant
IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016
Įpareigojimai: US National Science Foundation
Combining reinforcement learning with model predictive control for on-ramp merging
J Lubars, H Gupta, S Chinchali, L Li, A Raja, R Srikant, X Wu
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
Įpareigojimai: US National Science Foundation, US Department of Agriculture
Robust multi-agent multi-armed bandits
D Vial, S Shakkottai, R Srikant
Proceedings of the Twenty-second International Symposium on Theory …, 2021
Įpareigojimai: US National Science Foundation, US Department of Defense
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