Chessboard distributions. - Soumyadip Ghosh; Shane G. Henderson (WSC, 2001)

Advanced input modeling: properties of the NORTA method in higher dimensions. - Soumyadip Ghosh; Shane G. Henderson (WSC, 2002)

Chessboard Distributions and Random Vectors with Specified Marginals and Covariance Matrix. - Soumyadip Ghosh; Shane G. Henderson (Oper. Res., 2002)

Polyhedral sampling for multiattribute preference elicitation. - Soumyadip Ghosh; Jayant Kalagnanam (EC, 2003)

Revisiting correlations and scheduling in Web servers. - Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2003)

Behavior of the NORTA method for correlated random vector generation as the dimension increases. - Soumyadip Ghosh; Shane G. Henderson (ACM Trans. Model. Comput. Simul., 2003)

Dependence Modeling for Stochastic Simulation. - Bahar Biller; Soumyadip Ghosh (WSC, 2004)

Analysis and control of correlated web server queues. - Soumyadip Ghosh; Mark S. Squillante (Comput. Commun., 2004)

Performance analysis of a configured to order business with a variable product configuration recipe. - Soumyadip Ghosh; Tom Ervolina; Young M. Lee; Barun Gupta (WSC, 2005)

Bid Evaluation in Procurement Auctions with Piecewise Linear Supply Curves. - Marta Eso; Soumyadip Ghosh; Jayant Kalagnanam; Laszlo Ladányi (J. Heuristics, 2005)

Chapter 5 Multivariate Input Processes. - Bahar Biller; Soumyadip Ghosh (Simulation, 2006)

Computing worst-case tail probabilities in credit risk. - Soumyadip Ghosh; Sandeep Juneja 001 (WSC, 2006)

A rate result for simulation optimization with conditional value-at-risk constraints. - Soumyadip Ghosh (WSC, 2008)

Capacity optimization in feedforward Brownian networks. - A. B. Dieker; Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2008)

Simulating Distribution of Emergency Relief Supplies for Disaster Response Operations. - Young M. Lee; Soumyadip Ghosh; Markus Ettl (WSC, 2009)

Corrigendum: Behavior of the NORTA method for correlated random vector generation as the dimension increases. - Soumyadip Ghosh; Shane G. Henderson (ACM Trans. Model. Comput. Simul., 2009)

A strong law for the rate of growth of long latency periods in cloud computing service - Souvik Ghosh; Soumyadip Ghosh (CoRR, 2010)

Managing Procurement Spend Using Advanced Compliance Analytics. - Pawan Chowdhary; Markus Ettl; Amit Dhurandhar; Soumyadip Ghosh; Gopikrishnan Maniachari; Bruce Graves; Bill Schaefer; Yu Tang (ICEBE, 2011)

On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. - Soumyadip Ghosh; Raghu Pasupathy (WSC, 2011)

A two-stage non-linear program for optimal electrical grid power balance under uncertainty. - Dzung T. Phan; Soumyadip Ghosh (WSC, 2011)

A distributed scheme for fair EV charging under transmission constraints. - Dzung T. Phan; Jinjun Xiong; Soumyadip Ghosh (ACC, 2012)

Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids. - Dong Jin; Xiaoxuan Zhang; Soumyadip Ghosh (ISGT, 2012)

Optimal scenario tree reductions for the stochastic unit commitment problem. - Ali Koc; Soumyadip Ghosh (WSC, 2012)

C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions. - Soumyadip Ghosh; Raghu Pasupathy (INFORMS J. Comput., 2012)

Dynamic price optimization models for managing time-of-day electricity usage. - Shivaram Subramanian; Soumyadip Ghosh; Jonathan R. M. Hosking; Ramesh Natarajan; Xiaoxuan Zhang (SmartGridComm, 2013)

A two-phase approach for stochastic optimization of complex business processes. - Soumyadip Ghosh; Aliza R. Heching; Mark S. Squillante (WSC, 2013)

Low-storage online estimators for quantiles and densities. - Soumyadip Ghosh; Raghu Pasupathy (WSC, 2013)

Iterative methods for robust estimation under bivariate distributional uncertainty. - Henry Lam; Soumyadip Ghosh (WSC, 2013)

A Framework for the Analysis of Probabilistic Demand Response Schemes. - Pavithra Harsha; Mayank Sharma; Ramesh Natarajan; Soumyadip Ghosh (IEEE Trans. Smart Grid, 2013)

A low cost data acquisition system from digital display instruments employing image processing technique. - Soumyadip Ghosh; Suprosanna Shit (ICACCI, 2014)

On adaptive sampling rules for stochastic recursions. - Fatemeh Sadat Hashemi; Soumyadip Ghosh; Raghu Pasupathy (WSC, 2014)

Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. - Dzung T. Phan; Soumyadip Ghosh (ACM Trans. Model. Comput. Simul., 2014)

Mirror descent stochastic approximation for computing worst-case stochastic input models. - Soumyadip Ghosh; Henry Lam (WSC, 2015)

Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. - Dzung T. Phan; Soumyadip Ghosh (ACC, 2016)

Accelerating splitting algorithms for power grid reliability estimation. - Wander S. Wadman; Mark S. Squillante; Soumyadip Ghosh (WSC, 2016)

Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. - Ebisa D. Wollega; Soumyadip Ghosh; Mark S. Squillante (WSC, 2016)

Managing uncertainty in electricity generation and demand forecasting. - Kevin Warren; Ron F. Ambrosio; Bei Chen; Yuhui Fu 001; Soumyadip Ghosh; Dzung T. Phan; Mathieu Sinn; Chunhua Tian; Chandu Visweswariah (IBM J. Res. Dev., 2016)

Optimal Resource Capacity Management for Stochastic Networks. - A. B. Dieker; Soumyadip Ghosh; Mark S. Squillante (Oper. Res., 2017)

Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. - Sanghamitra Dutta; Gauri Joshi; Soumyadip Ghosh; Parijat Dube; Priya Nagpurkar (AISTATS, 2018)

Fast Parallel Computation using Periodic Synchronization. - Soumyadip Ghosh; Jiacai Lu; Vijay Gupta 001; Grétar Tryggvason (ACC, 2018)

Efficient Stochastic Gradient Descent for Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (CoRR, 2018)

On Sampling Rates in Simulation-Based Recursions. - Raghu Pasupathy; Peter W. Glynn; Soumyadip Ghosh; Fatemeh Sadat Hashemi (SIAM J. Optim., 2018)

On Min-Max Optimization Over Large Data Sets. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (SIGMETRICS Perform. Evaluation Rev., 2018)

Parallel Computation using Event-Triggered Communication. - Soumyadip Ghosh; Kamal K. Saha; Vijay Gupta 001; Grétar Tryggvason (ACC, 2019)

Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees. - Soumyadip Ghosh; Henry Lam (Oper. Res., 2019)

Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. - Nian Si; Jose H. Blanchet; Soumyadip Ghosh; Mark S. Squillante (NeurIPS, 2020)

EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent. - Soumyadip Ghosh; Vijay Gupta 001 (MLHPC/AI4S@SC, 2020)

Unbiased Gradient Estimation for Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante (CoRR, 2020)

Efficient Generalization with Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (NeurIPS, 2021)

On Solving Distributionally Robust Optimization Formulations Efficiently. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (WSC, 2021)

HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in Lp. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

HMC, an Algorithms in Data Mining, the Functional Analysis approach. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2021)

A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. - Xuhui Zhang; José H. Blanchet; Soumyadip Ghosh; Mark S. Squillante (AISTATS, 2022)

Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. - Soumyadip Ghosh; Mark S. Squillante (WSC, 2022)

On L2 convergence of the Hamiltonian Monte Carlo. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (Appl. Math. Lett., 2022)

Polynomial convergence of iterations of certain random operators in Hilbert space. - Soumyadip Ghosh; Yingdong Lu; Tomasz J. Nowicki (CoRR, 2022)

Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers. - Soumyadip Ghosh; Jiacai Lu; Vijay Gupta 001; Grétar Tryggvason (CoRR, 2022)

On Representations of Mean-Field Variational Inference. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki; Edith Zhang (CoRR, 2022)

EventGraD: Event-triggered communication in parallel machine learning. - Soumyadip Ghosh; Bernardo Aquino; Vijay Gupta 001 (Neurocomputing, 2022)

Unbiased Gradient Estimation for Robust Optimization. - Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2022)

Obtaining Explainable Classification Models using Distributionally Robust Optimization. - Sanjeeb Dash; Soumyadip Ghosh; Joao Goncalves; Mark S. Squillante (CoRR, 2023)

On Convergence of the Alternating Directions SGHMC Algorithm. - Soumyadip Ghosh; Yingdong Lu; Tomasz Nowicki (CoRR, 2024)

Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. - Soumyadip Ghosh; Lior Horesh; Vassilis Kalantzis; Yingdong Lu; Tomasz Nowicki (CoRR, 2024)