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Shanbhag, V.
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1

Catalytic hydrogen generation from biomass and its derivati..:

, In: Handbook of Emerging Materials for Sustainable Energy,
Vaishnavi, B.J. ; Shanbhag, Ganapati V. - p. 547-568 , 2024
Link: https://doi.org/10.1016/..
 
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2

List of contributors:

, In: Handbook of Emerging Materials for Sustainable Energy,
Aazem, Irthasa ; Abdel-Fattah, Aliaa ; Abdel-Karim, Randa... - p. xiii-xvii , 2024
Link: https://doi.org/10.1016/..
 
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3

Global Resolution of Chance-Constrained Optimization Proble..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),
Zhang, Peixuan ; Shanbhag, Uday V. ; Lagoa, Constantino M.. - p. 6301-6306 , 2023
Link: https://doi.org/10.1109/..
 
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4

Drug-Drug Interaction Extraction Based on Deep Learning Mod..:

, In: Advances in Intelligent Systems and Computing; Soft Computing for Problem Solving,
Shanbhag, Shrinivas V. ; Karmakar, Pratyush ; Prajwala, P.. - p. 691-706 , 2021
Link: https://doi.org/10.1007/..
 
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5

Heterogeneous Catalysis for Chemical Fixation of CO2 via Ca..:

, In: Climate Change and Green Chemistry of CO2 Sequestration; Green Energy and Technology,
Shanbhag, Ganapati V. ; Kulal, Nagendra ; Vaishnavi, B. J. - p. 141-169 , 2021
Link: https://doi.org/10.1007/..
 
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6

Distributed Computation of Nash Equilibria for Monotone Agg..:

, In: 2020 59th IEEE Conference on Decision and Control (CDC),
Lei, Jinlong ; Shanbhag, Uday V. ; Chen, Jie - p. 2285-2290 , 2020
Link: https://doi.org/10.1109/..
 
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7

Smoothed First-order Algorithms for Expectation-valued Cons..:

, In: 2019 53rd Annual Conference on Information Sciences and Systems (CISS),
Jalilzadeh, Afrooz ; Shanbhag, Uday V. - p. 1-1 , 2019
Link: https://doi.org/10.1109/..
 
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8

Stochastic Approximation for simulation Optimization under ..:

, In: 2019 Winter Simulation Conference (WSC),
Song, Eunhye ; Shanbhag, Uday V. - p. 3597-3608 , 2019
Link: https://doi.org/10.1109/..
 
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9

A proximal-point algorithm with variable sample-sizes (PPAW..:

, In: Proceedings of the Winter Simulation Conference,
Jalilzadeh, Afrooz ; Shanbhag, Uday V. - p. 3551-3562 , 2019
Link: https://dl.acm.org/doi/1..
 
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10

A Proximal-Point Algorithm with Variable Sample-Sizes (PPAW..:

, In: 2019 Winter Simulation Conference (WSC),
Jalilzadeh, Afrooz ; Shanbhag, Uday V. - p. 3551-3562 , 2019
Link: https://doi.org/10.1109/..
 
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11

Stochastic approximation for simulation optimization under ..:

, In: Proceedings of the Winter Simulation Conference,
Song, Eunhye ; Shanbhag, Uday V. - p. 3597-3608 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

A smoothing stochastic quasi-Newton method for non-lipschit..:

, In: Proceedings of the 2017 Winter Simulation Conference,
Yousefian, Farzad ; Nedić, Angelia ; Shanbhag, Uday V. - p. 1-12 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

eg-VSSA: an extragradient variable sample-size stochastic a..:

, In: Proceedings of the 2016 Winter Simulation Conference,
Jalilzadeh, Afrooz ; Shanbhag, Uday V. - p. 690-701 , 2016
Link: https://dl.acm.org/doi/1..
 
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14

SI-ADMM : a stochastic inexact ADMM framework for resolv..:

, In: Proceedings of the 2016 Winter Simulation Conference,
Xie, Yue ; Shanbhag, Uday V. - p. 714-725 , 2016
Link: https://dl.acm.org/doi/1..
 
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15

Data-driven schemes for resolving misspecified MDPs: Asympt..:

, In: 2015 Winter Simulation Conference (WSC),
Jiang, Hao ; Shanbhag, Uday V. - p. 3801-3812 , 2015
Link: https://doi.org/10.1109/..
 
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