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ORCIDSoumyadip Ghosh
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2020 – today
- 2024
[i15]Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
On Convergence of the Alternating Directions SGHMC Algorithm. CoRR abs/2405.13140 (2024)- [i14]Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki:
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR abs/2407.16661 (2024) - 2023
- [i13]Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante:
Obtaining Explainable Classification Models using Distributionally Robust Optimization. CoRR abs/2311.01994 (2023) - 2022
- [j19]Soumyadip Ghosh, Yingdong Lu
, Tomasz Nowicki:
On L2 convergence of the Hamiltonian Monte Carlo. Appl. Math. Lett. 127: 107811 (2022) - [j18]Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta:
EventGraD: Event-triggered communication in parallel machine learning. Neurocomputing 483: 474-487 (2022) - [j17]Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Robust Optimization. SIGMETRICS Perform. Evaluation Rev. 49(2): 39-41 (2022) - [c33]Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. AISTATS 2022: 3794-3820 - [c32]Soumyadip Ghosh, Mark S. Squillante:
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. WSC 2022: 2294-2305 - [i12]Soumyadip Ghosh, Yingdong Lu, Tomasz J. Nowicki:
Polynomial convergence of iterations of certain random operators in Hilbert space. CoRR abs/2202.02266 (2022) - [i11]Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason:
Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers. CoRR abs/2202.10548 (2022) - [i10]Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. CoRR abs/2202.11685 (2022) - [i9]Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki, Edith Zhang:
On Representations of Mean-Field Variational Inference. CoRR abs/2210.11385 (2022) - 2021
- [c31]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
Efficient Generalization with Distributionally Robust Learning. NeurIPS 2021: 28310-28322 - [c30]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
On Solving Distributionally Robust Optimization Formulations Efficiently. WSC 2021: 1-12 - [i8]Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in Lp. CoRR abs/2101.08688 (2021) - [i7]Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
HMC, an Algorithms in Data Mining, the Functional Analysis approach. CoRR abs/2102.02691 (2021) - [i6]Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta:
EventGraD: Event-Triggered Communication in Parallel Machine Learning. CoRR abs/2103.07454 (2021) - [i5]Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. CoRR abs/2110.12907 (2021) - 2020
- [c29]Nian Si, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. NeurIPS 2020 - [c28]Soumyadip Ghosh, Vijay Gupta:
EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent. MLHPC/AI4S@SC 2020: 1-8 - [i4]Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Distributionally Robust Learning. CoRR abs/2012.12367 (2020)
2010 – 2019
- 2019
- [j16]Soumyadip Ghosh, Henry Lam:
Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees. Oper. Res. 67(1): 232-249 (2019) - [c27]Soumyadip Ghosh, Kamal K. Saha, Vijay Gupta, Grétar Tryggvason:
Parallel Computation using Event-Triggered Communication. ACC 2019: 4000-4005 - 2018
- [j15]Raghu Pasupathy, Peter W. Glynn, Soumyadip Ghosh, Fatemeh Sadat Hashemi:
On Sampling Rates in Simulation-Based Recursions. SIAM J. Optim. 28(1): 45-73 (2018) - [j14]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
On Min-Max Optimization Over Large Data Sets. SIGMETRICS Perform. Evaluation Rev. 46(2): 45-47 (2018) - [c26]Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar:
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. AISTATS 2018: 803-812 - [c25]Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason:
Fast Parallel Computation using Periodic Synchronization. ACC 2018: 1659-1664 - [i3]Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar:
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. CoRR abs/1803.01113 (2018) - [i2]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
Efficient Stochastic Gradient Descent for Distributionally Robust Learning. CoRR abs/1805.08728 (2018) - 2017
- [j13]A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante:
Optimal Resource Capacity Management for Stochastic Networks. Oper. Res. 65(1): 221-241 (2017) - 2016
- [j12]Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah:
Managing uncertainty in electricity generation and demand forecasting. IBM J. Res. Dev. 60(1) (2016) - [c24]Dzung T. Phan, Soumyadip Ghosh:
Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. ACC 2016: 6791-6796 - [c23]Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh:
Accelerating splitting algorithms for power grid reliability estimation. WSC 2016: 1757-1768 - [c22]Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante:
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. WSC 2016: 1769-1780 - 2015
- [c21]Soumyadip Ghosh, Henry Lam:
Mirror descent stochastic approximation for computing worst-case stochastic input models. WSC 2015: 425-436 - 2014
- [j11]Dzung T. Phan, Soumyadip Ghosh:
Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. ACM Trans. Model. Comput. Simul. 24(1): 2:1-2:22 (2014) - [c20]Soumyadip Ghosh, Suprosanna Shit:
A low cost data acquisition system from digital display instruments employing image processing technique. ICACCI 2014: 1065-1068 - [c19]Fatemeh Sadat Hashemi, Soumyadip Ghosh, Raghu Pasupathy:
On adaptive sampling rules for stochastic recursions. WSC 2014: 3959-3970 - 2013
- [j10]Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh:
A Framework for the Analysis of Probabilistic Demand Response Schemes. IEEE Trans. Smart Grid 4(4): 2274-2284 (2013) - [c18]Shivaram Subramanian, Soumyadip Ghosh, Jonathan R. M. Hosking, Ramesh Natarajan, Xiaoxuan Zhang:
Dynamic price optimization models for managing time-of-day electricity usage. SmartGridComm 2013: 163-168 - [c17]Henry Lam, Soumyadip Ghosh:
Iterative methods for robust estimation under bivariate distributional uncertainty. WSC 2013: 193-204 - [c16]Soumyadip Ghosh, Raghu Pasupathy:
Low-storage online estimators for quantiles and densities. WSC 2013: 778-789 - [c15]Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante:
A two-phase approach for stochastic optimization of complex business processes. WSC 2013: 1856-1868 - 2012
- [j9]Soumyadip Ghosh, Raghu Pasupathy:
C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions. INFORMS J. Comput. 24(2): 295-310 (2012) - [c14]Dzung T. Phan, Jinjun Xiong, Soumyadip Ghosh:
A distributed scheme for fair EV charging under transmission constraints. ACC 2012: 1053-1058 - [c13]Dong Jin, Xiaoxuan Zhang, Soumyadip Ghosh:
Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids. ISGT 2012: 1-8 - [c12]Ali Koc, Soumyadip Ghosh:
Optimal scenario tree reductions for the stochastic unit commitment problem. WSC 2012: 10:1-10:12 - 2011
- [c11]Pawan Chowdhary, Markus Ettl, Amit Dhurandhar, Soumyadip Ghosh, Gopikrishnan Maniachari, Bruce Graves, Bill Schaefer, Yu Tang:
Managing Procurement Spend Using Advanced Compliance Analytics. ICEBE 2011: 139-144 - [c10]Soumyadip Ghosh, Raghu Pasupathy:
On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. WSC 2011: 4163-4171 - [c9]Dzung T. Phan, Soumyadip Ghosh:
A two-stage non-linear program for optimal electrical grid power balance under uncertainty. WSC 2011: 4227-4238 - 2010
- [i1]Souvik Ghosh, Soumyadip Ghosh:
A strong law for the rate of growth of long latency periods in cloud computing service. CoRR abs/1010.3619 (2010)
2000 – 2009
- 2009
- [j8]Soumyadip Ghosh, Shane G. Henderson:
Corrigendum: Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. 19(4): 20:1-20:3 (2009) - [c8]Young M. Lee, Soumyadip Ghosh, Markus Ettl:
Simulating Distribution of Emergency Relief Supplies for Disaster Response Operations. WSC 2009: 2797-2808 - 2008
- [j7]A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante:
Capacity optimization in feedforward Brownian networks. SIGMETRICS Perform. Evaluation Rev. 36(2): 137-139 (2008) - [c7]Soumyadip Ghosh:
A rate result for simulation optimization with conditional value-at-risk constraints. WSC 2008: 615-620 - 2006
- [j6]Soumyadip Ghosh, Shane G. Henderson:
Corrigendum: Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. 16(1): 93-94 (2006) - [c6]Soumyadip Ghosh, Sandeep Juneja:
Computing worst-case tail probabilities in credit risk. WSC 2006: 246-254 - [p1]Bahar Biller, Soumyadip Ghosh:
Chapter 5 Multivariate Input Processes. Simulation 2006: 123-153 - 2005
- [j5]Marta Eso, Soumyadip Ghosh, Jayant Kalagnanam, Laszlo Ladányi:
Bid Evaluation in Procurement Auctions with Piecewise Linear Supply Curves. J. Heuristics 11(2): 147-173 (2005) - [c5]Soumyadip Ghosh, Tom Ervolina, Young M. Lee, Barun Gupta:
Performance analysis of a configured to order business with a variable product configuration recipe. WSC 2005: 2094-2101 - 2004
- [j4]Soumyadip Ghosh, Mark S. Squillante:
Analysis and control of correlated web server queues. Comput. Commun. 27(18): 1771-1785 (2004) - [c4]Bahar Biller, Soumyadip Ghosh:
Dependence Modeling for Stochastic Simulation. WSC 2004: 153-161 - 2003
- [j3]Soumyadip Ghosh, Mark S. Squillante:
Revisiting correlations and scheduling in Web servers. SIGMETRICS Perform. Evaluation Rev. 31(2): 40-42 (2003) - [j2]Soumyadip Ghosh, Shane G. Henderson:
Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. 13(3): 276-294 (2003) - [c3]Soumyadip Ghosh, Jayant Kalagnanam:
Polyhedral sampling for multiattribute preference elicitation. EC 2003: 256-257 - 2002
- [j1]Soumyadip Ghosh, Shane G. Henderson:
Chessboard Distributions and Random Vectors with Specified Marginals and Covariance Matrix. Oper. Res. 50(5): 820-834 (2002) - [c2]Soumyadip Ghosh, Shane G. Henderson:
Advanced input modeling: properties of the NORTA method in higher dimensions. WSC 2002: 263-269 - 2001
- [c1]Soumyadip Ghosh, Shane G. Henderson:
Chessboard distributions. WSC 2001: 385-393
Coauthor Index
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last updated on 2024-08-20 22:54 CEST by the dblp team
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