Soumyadip Ghosh

74 papers A* 3A 2C 4Misc 19Journal 36Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An explainable approach to learning feature representations of omics data using optimal transport to improve phenotype stratification. BCB Nandini Amit Gadhia, Soumyadip Ghosh, Ritesh Krishna, Anh Nguyen, Michalis Smyrnakis
2025	—	`conf`	Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. SC Workshops Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025	J	`jnl`	Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. CoRR Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025	—	`conf`	GenEvalRefinEx: Architecture for Streamlining GenAI Efforts. ICDM (Workshops) Rutuja Vaidya, Soumyadip Ghosh, Vaishali Paithankar Sadaphal
2025	—	`conf`	Power iteration with probabilistic updates for systems with heterogeneous performance. HPEC Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Georgios Kollias, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru
2025	J	`jnl`	Regenerative Ulam-von Neumann Algorithm: An Innovative Markov Chain Monte Carlo Method for Matrix Inversion. SIAM J. Matrix Anal. Appl. Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2024	J	`jnl`	On Convergence of the Alternating Directions SGHMC Algorithm. CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2024	J	`jnl`	Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2023	J	`jnl`	Obtaining Explainable Classification Models using Distributionally Robust Optimization. CoRR Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante
2022	A	`conf`	A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. AISTATS Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2022	J	`jnl`	A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. CoRR Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2022	J	`jnl`	Communication-Efficient Algorithms for Solving Pressure Poisson Equation for Multiphase Flows using Parallel Computers. CoRR Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason
2022	Misc	`conf`	Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. WSC Soumyadip Ghosh, Mark S. Squillante
2022	J	`jnl`	EventGraD: Event-triggered communication in parallel machine learning. Neurocomputing Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta
2022	J	`jnl`	On L2 convergence of the Hamiltonian Monte Carlo. Appl. Math. Lett. Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2022	J	`jnl`	On Representations of Mean-Field Variational Inference. CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki, Edith Zhang
2022	J	`jnl`	Polynomial convergence of iterations of certain random operators in Hilbert space. CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz J. Nowicki
2022	J	`jnl`	Unbiased Gradient Estimation for Robust Optimization. SIGMETRICS Perform. Evaluation Rev. Soumyadip Ghosh, Mark S. Squillante
2021	A*	`conf`	Efficient Generalization with Distributionally Robust Learning. NeurIPS Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2021	J	`jnl`	EventGraD: Event-Triggered Communication in Parallel Machine Learning. CoRR Soumyadip Ghosh, Bernardo Aquino, Vijay Gupta
2021	J	`jnl`	HMC, an Algorithms in Data Mining, the Functional Analysis approach. CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2021	J	`jnl`	HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in L CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2021	J	`jnl`	Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions. CoRR Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki
2021	Misc	`conf`	On Solving Distributionally Robust Optimization Formulations Efficiently. WSC Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2020	—	`conf`	EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent. MLHPC/AI4S@SC Soumyadip Ghosh, Vijay Gupta
2020	A*	`conf`	Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. NeurIPS Nian Si, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2020	J	`jnl`	Unbiased Gradient Estimation for Distributionally Robust Learning. CoRR Soumyadip Ghosh, Mark S. Squillante
2019	C	`conf`	Parallel Computation using Event-Triggered Communication. ACC Soumyadip Ghosh, Kamal K. Saha, Vijay Gupta, Grétar Tryggvason
2019	J	`jnl`	Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees. Oper. Res. Soumyadip Ghosh, Henry Lam
2018	J	`jnl`	Efficient Stochastic Gradient Descent for Distributionally Robust Learning. CoRR Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2018	C	`conf`	Fast Parallel Computation using Periodic Synchronization. ACC Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Grétar Tryggvason
2018	J	`jnl`	On Min-Max Optimization Over Large Data Sets. SIGMETRICS Perform. Evaluation Rev. Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2018	J	`jnl`	On Sampling Rates in Simulation-Based Recursions. SIAM J. Optim. Raghu Pasupathy, Peter W. Glynn, Soumyadip Ghosh, Fatemeh Sadat Hashemi
2018	A	`conf`	Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. AISTATS Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar
2018	J	`jnl`	Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. CoRR Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar
2017	J	`jnl`	Optimal Resource Capacity Management for Stochastic Networks. Oper. Res. A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
2016	Misc	`conf`	Accelerating splitting algorithms for power grid reliability estimation. WSC Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh
2016	Misc	`conf`	Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. WSC Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante
2016	J	`jnl`	Managing uncertainty in electricity generation and demand forecasting. IBM J. Res. Dev. Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah
2016	C	`conf`	Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. ACC Dzung T. Phan, Soumyadip Ghosh
2015	Misc	`conf`	Mirror descent stochastic approximation for computing worst-case stochastic input models. WSC Soumyadip Ghosh, Henry Lam
2014	—	`conf`	A low cost data acquisition system from digital display instruments employing image processing technique. ICACCI Soumyadip Ghosh, Suprosanna Shit
2014	Misc	`conf`	On adaptive sampling rules for stochastic recursions. WSC Fatemeh Sadat Hashemi, Soumyadip Ghosh, Raghu Pasupathy
2014	J	`jnl`	Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. ACM Trans. Model. Comput. Simul. Dzung T. Phan, Soumyadip Ghosh
2013	J	`jnl`	A Framework for the Analysis of Probabilistic Demand Response Schemes. IEEE Trans. Smart Grid Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh
2013	Misc	`conf`	A two-phase approach for stochastic optimization of complex business processes. WSC Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante
2013	—	`conf`	Dynamic price optimization models for managing time-of-day electricity usage. SmartGridComm Shivaram Subramanian, Soumyadip Ghosh, Jonathan R. M. Hosking, Ramesh Natarajan, Xiaoxuan Zhang
2013	Misc	`conf`	Iterative methods for robust estimation under bivariate distributional uncertainty. WSC Henry Lam, Soumyadip Ghosh
2013	Misc	`conf`	Low-storage online estimators for quantiles and densities. WSC Soumyadip Ghosh, Raghu Pasupathy
2012	C	`conf`	A distributed scheme for fair EV charging under transmission constraints. ACC Dzung T. Phan, Jinjun Xiong, Soumyadip Ghosh
2012	J	`jnl`	C-NORTA: A Rejection Procedure for Sampling from the Tail of Bivariate NORTA Distributions. INFORMS J. Comput. Soumyadip Ghosh, Raghu Pasupathy
2012	Misc	`conf`	Optimal scenario tree reductions for the stochastic unit commitment problem. WSC Ali Koc, Soumyadip Ghosh
2012	—	`conf`	Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids. ISGT Dong Jin, Xiaoxuan Zhang, Soumyadip Ghosh
2011	Misc	`conf`	A two-stage non-linear program for optimal electrical grid power balance under uncertainty. WSC Dzung T. Phan, Soumyadip Ghosh
2011	—	`conf`	Managing Procurement Spend Using Advanced Compliance Analytics. ICEBE Pawan Chowdhary, Markus Ettl, Amit Dhurandhar, Soumyadip Ghosh, Gopikrishnan Maniachari, Bruce Graves, Bill Schaefer, Yu Tang
2011	Misc	`conf`	On interior-point based retrospective approximation methods for solving two-stage stochastic linear programs. WSC Soumyadip Ghosh, Raghu Pasupathy
2010	J	`jnl`	A strong law for the rate of growth of long latency periods in cloud computing service CoRR Souvik Ghosh, Soumyadip Ghosh
2009	J	`jnl`	Corrigendum: Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. Soumyadip Ghosh, Shane G. Henderson
2009	Misc	`conf`	Simulating Distribution of Emergency Relief Supplies for Disaster Response Operations. WSC Young M. Lee, Soumyadip Ghosh, Markus Ettl
2008	Misc	`conf`	A rate result for simulation optimization with conditional value-at-risk constraints. WSC Soumyadip Ghosh
2008	J	`jnl`	Capacity optimization in feedforward Brownian networks. SIGMETRICS Perform. Evaluation Rev. A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
2006	—	`ch.`	Chapter 5 Multivariate Input Processes. Simulation Bahar Biller, Soumyadip Ghosh
2006	Misc	`conf`	Computing worst-case tail probabilities in credit risk. WSC Soumyadip Ghosh, Sandeep Juneja
2006	J	`jnl`	Corrigendum: Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. Soumyadip Ghosh, Shane G. Henderson
2005	J	`jnl`	Bid Evaluation in Procurement Auctions with Piecewise Linear Supply Curves. J. Heuristics Marta Eso, Soumyadip Ghosh, Jayant Kalagnanam, Laszlo Ladányi
2005	Misc	`conf`	Performance analysis of a configured to order business with a variable product configuration recipe. WSC Soumyadip Ghosh, Tom Ervolina, Young M. Lee, Barun Gupta
2004	J	`jnl`	Analysis and control of correlated web server queues. Comput. Commun. Soumyadip Ghosh, Mark S. Squillante
2004	Misc	`conf`	Dependence Modeling for Stochastic Simulation. WSC Bahar Biller, Soumyadip Ghosh
2003	J	`jnl`	Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Trans. Model. Comput. Simul. Soumyadip Ghosh, Shane G. Henderson
2003	A*	`conf`	Polyhedral sampling for multiattribute preference elicitation. EC Soumyadip Ghosh, Jayant Kalagnanam
2003	J	`jnl`	Revisiting correlations and scheduling in Web servers. SIGMETRICS Perform. Evaluation Rev. Soumyadip Ghosh, Mark S. Squillante
2002	Misc	`conf`	Advanced input modeling: properties of the NORTA method in higher dimensions. WSC Soumyadip Ghosh, Shane G. Henderson
2002	J	`jnl`	Chessboard Distributions and Random Vectors with Specified Marginals and Covariance Matrix. Oper. Res. Soumyadip Ghosh, Shane G. Henderson
2001	Misc	`conf`	Chessboard distributions. WSC Soumyadip Ghosh, Shane G. Henderson