Soumyadip Ghosh

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 34

Top Topics

Robust Optimization

Gradient Estimation

Top Venues

SIGMETRICS Perform. Evaluation Rev.

Publications

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 (2024)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
On Convergence of the Alternating Directions SGHMC Algorithm. CoRR (2024)
Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante
Obtaining Explainable Classification Models using Distributionally Robust Optimization. CoRR (2023)
Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. AISTATS (2022)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki, Edith Zhang
On Representations of Mean-Field Variational Inference. CoRR (2022)
Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason
Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers. CoRR (2022)
Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. CoRR (2022)
Soumyadip Ghosh, Mark S. Squillante
Unbiased Gradient Estimation for Robust Optimization. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Soumyadip Ghosh, Mark S. Squillante
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. WSC (2022)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
On L2 convergence of the Hamiltonian Monte Carlo. Appl. Math. Lett. 127 (2022)
Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta
EventGraD: Event-triggered communication in parallel machine learning. Neurocomputing 483 (2022)
Soumyadip Ghosh, Yingdong Lu, Tomasz J. Nowicki
Polynomial convergence of iterations of certain random operators in Hilbert space. CoRR (2022)
Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta
EventGraD: Event-Triggered Communication in Parallel Machine Learning. CoRR (2021)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
Efficient Generalization with Distributionally Robust Learning. NeurIPS (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
. CoRR (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
HMC, an Algorithms in Data Mining, the Functional Analysis approach. CoRR (2021)
Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. CoRR (2021)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
On Solving Distributionally Robust Optimization Formulations Efficiently. WSC (2021)
Soumyadip Ghosh, Vijay Gupta
EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent. MLHPC/AI4S@SC (2020)
Soumyadip Ghosh, Mark S. Squillante
Unbiased Gradient Estimation for Distributionally Robust Learning. CoRR (2020)
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)
Soumyadip Ghosh, Kamal K. Saha, Vijay Gupta, Grétar Tryggvason
Parallel Computation using Event-Triggered Communication. ACC (2019)
Soumyadip Ghosh, Henry Lam
Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees. Oper. Res. 67 (1) (2019)
Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason
Fast Parallel Computation using Periodic Synchronization. ACC (2018)
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)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
On Min-Max Optimization Over Large Data Sets. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Raghu Pasupathy, Peter W. Glynn, Soumyadip Ghosh, Fatemeh Sadat Hashemi
On Sampling Rates in Simulation-Based Recursions. SIAM J. Optim. 28 (1) (2018)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
Efficient Stochastic Gradient Descent for Distributionally Robust Learning. CoRR (2018)
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 (2018)
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
Optimal Resource Capacity Management for Stochastic Networks. Oper. Res. 65 (1) (2017)
Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh
Accelerating splitting algorithms for power grid reliability estimation. WSC (2016)
Dzung T. Phan, Soumyadip Ghosh
Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. ACC (2016)
Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. WSC (2016)
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)
Soumyadip Ghosh, Henry Lam
Mirror descent stochastic approximation for computing worst-case stochastic input models. WSC (2015)
Fatemeh Sadat Hashemi, Soumyadip Ghosh, Raghu Pasupathy
On adaptive sampling rules for stochastic recursions. WSC (2014)
Soumyadip Ghosh, Suprosanna Shit
A low cost data acquisition system from digital display instruments employing image processing technique. ICACCI (2014)
Dzung T. Phan, Soumyadip Ghosh
Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. ACM Trans. Model. Comput. Simul. 24 (1) (2014)
Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh
A Framework for the Analysis of Probabilistic Demand Response Schemes. IEEE Trans. Smart Grid 4 (4) (2013)
Henry Lam, Soumyadip Ghosh
Iterative methods for robust estimation under bivariate distributional uncertainty. WSC (2013)
Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante
A two-phase approach for stochastic optimization of complex business processes. WSC (2013)
Soumyadip Ghosh, Raghu Pasupathy
Low-storage online estimators for quantiles and densities. WSC (2013)
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)
Dzung T. Phan, Jinjun Xiong, Soumyadip Ghosh
A distributed scheme for fair EV charging under transmission constraints. ACC (2012)
Dong Jin, Xiaoxuan Zhang, Soumyadip Ghosh
Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids. ISGT (2012)
Soumyadip Ghosh, Raghu Pasupathy
C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions. INFORMS J. Comput. 24 (2) (2012)
Ali Koc, Soumyadip Ghosh
Optimal scenario tree reductions for the stochastic unit commitment problem. WSC (2012)
Dzung T. Phan, Soumyadip Ghosh
A two-stage non-linear program for optimal electrical grid power balance under uncertainty. WSC (2011)
Soumyadip Ghosh, Raghu Pasupathy
On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. WSC (2011)
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)
Souvik Ghosh, Soumyadip Ghosh
A strong law for the rate of growth of long latency periods in cloud computing service CoRR (2010)
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) (2009)
Young M. Lee, Soumyadip Ghosh, Markus Ettl
Simulating Distribution of Emergency Relief Supplies for Disaster Response Operations. WSC (2009)
Soumyadip Ghosh
A rate result for simulation optimization with conditional value-at-risk constraints. WSC (2008)
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
Capacity optimization in feedforward Brownian networks. SIGMETRICS Perform. Evaluation Rev. 36 (2) (2008)
Soumyadip Ghosh, Sandeep Juneja
Computing worst-case tail probabilities in credit risk. WSC (2006)
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) (2006)
Marta Eso, Soumyadip Ghosh, Jayant Kalagnanam, Laszlo Ladányi
Bid Evaluation in Procurement Auctions with Piecewise Linear Supply Curves. J. Heuristics 11 (2) (2005)
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)
Soumyadip Ghosh, Mark S. Squillante
Analysis and control of correlated web server queues. Comput. Commun. 27 (18) (2004)
Bahar Biller, Soumyadip Ghosh
Dependence Modeling for Stochastic Simulation. WSC (2004)
Soumyadip Ghosh, Jayant Kalagnanam
Polyhedral sampling for multiattribute preference elicitation. EC (2003)
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) (2003)
Soumyadip Ghosh, Mark S. Squillante
Revisiting correlations and scheduling in Web servers. SIGMETRICS Perform. Evaluation Rev. 31 (2) (2003)
Soumyadip Ghosh, Shane G. Henderson
Chessboard Distributions and Random Vectors with Specified Marginals and Covariance Matrix. Oper. Res. 50 (5) (2002)
Soumyadip Ghosh, Shane G. Henderson
Advanced input modeling: properties of the NORTA method in higher dimensions. WSC (2002)
Soumyadip Ghosh, Shane G. Henderson
Chessboard distributions. WSC (2001)