Dzung T. Phan

Dharmashankar Subramanian

Rudy Raymond

CoRR, 2024

Multi-polytope Machine for Classification.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

An End-to-End Time Series Model for Simultaneous Imputation and Forecast.

[BibT_eX]

[DOI]

CoRR, 2023

Optimal Control via Linearizable Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

A hybrid stochastic optimization framework for composite nonconvex optimization.

[BibT_eX]

[DOI]

Math. Program., 2022

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing.

[BibT_eX]

[DOI]

Raju Pavuluri

Xiang Ma

Crystal Lui

Giovane Cesar Da Silva

INFORMS J. Appl. Anal., 2022

Finite-sum smooth optimization with SARAH.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2022

StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions.

[BibT_eX]

[DOI]

Hongsheng Liu

Lam M. Nguyen

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Interpretable Clustering via Multi-Polytope Machines.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Unified Convergence Analysis for Shuffling-Type Gradient Methods.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

On the Solution of ℓ0-Constrained Sparse Inverse Covariance Estimation Problems.

[BibT_eX]

[DOI]

Ramón Fernandez Astudillo

Matt Menickelly

INFORMS J. Comput., 2021

Federated Learning with Randomized Douglas-Rachford Splitting Methods.

[BibT_eX]

[DOI]

CoRR, 2021

FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cardinality-Regularized Hawkes-Granger Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Ensembling Graph Predictions for AMR Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Scale Invariant Measure of Flatness for Deep Network Minima.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Regression Optimization for System-level Production Control.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

A Scale Invariant Flatness Measure for Deep Network Minima.

[BibT_eX]

[DOI]

CoRR, 2019

Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH.

[BibT_eX]

[DOI]

CoRR, 2019

ℓ0-Regularized Sparsity for Probabilistic Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks.

[BibT_eX]

[DOI]

Rudy Raymond

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

When Does Stochastic Gradient Algorithm Work Well?

[BibT_eX]

[DOI]

CoRR, 2018

2017

A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Multi-modal Models for Collective Anomaly Detection.

[BibT_eX]

[DOI]

Jayant Kalagnanam

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Projection algorithms for nonconvex minimization with application to sparse principal component analysis.

[BibT_eX]

[DOI]

Jiajie Zhu

J. Glob. Optim., 2016

Managing uncertainty in electricity generation and demand forecasting.

[BibT_eX]

[DOI]

IBM J. Res. Dev., 2016

Change Detection Using Directional Statistics.

[BibT_eX]

[DOI]

Jayant Kalagnanam

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Predicting and mitigating congestion for an electric power system under load and renewable uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems.

[BibT_eX]

[DOI]

Yada Zhu

Eur. J. Oper. Res., 2015

A Resource Supply-Demand based Approach for Automatic MapReduce Job Optimization.

[BibT_eX]

[DOI]

Jinjun Xiong

David Kung

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014

Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2014

2013

An exact algorithm for graph partitioning.

[BibT_eX]

[DOI]

Hongchao Zhang

Math. Program., 2013

2012

Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

Lagrangian Duality and Branch-and-Bound Algorithms for Optimal Power Flow.

[BibT_eX]

[DOI]

Oper. Res., 2012

Distributed methods for solving the security-constrained optimal power flow problem.

[BibT_eX]

[DOI]

Jayant Kalagnanam

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

A distributed scheme for fair EV charging under transmission constraints.

[BibT_eX]

[DOI]

Jinjun Xiong

Proceedings of the American Control Conference, 2012

2011

Gradient-Based Methods for Sparse Recovery.

[BibT_eX]

[DOI]

Hongchao Zhang

SIAM J. Imaging Sci., 2011

A two-stage non-linear program for optimal electrical grid power balance under uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference 2011, 2011

2009

An Ellipsoidal Branch and Bound Algorithm for Global Optimization.

[BibT_eX]

[DOI]