Jayant R. Kalagnanam

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 12

Top Topics

Metabolic Engineering

Reinforcement Learning

Constrained Optimization

Generalized Linear

Top Venues

IEEE Control. Syst. Lett.

Publications

Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
Finite-sum smooth optimization with SARAH. Comput. Optim. Appl. 82 (3) (2022)
Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets. IEEE Control. Syst. Lett. 6 (2022)
Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam
Regression Optimization for System-level Production Control. ACC (2021)
Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam
Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network. SIAM J. Sci. Comput. 43 (2) (2021)
Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
Batched Learning in Generalized Linear Contextual Bandits with General Decision Sets. ACC (2021)
Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management. CoRR (2021)
Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network. CoRR (2020)
Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. CoRR (2020)
Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. ICDM (2020)
Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam
DQA: Scalable, Automated and Interactive Data Quality Advisor. IEEE BigData (2019)
Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH. CoRR (2019)
Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
When Does Stochastic Gradient Algorithm Work Well? CoRR (2018)
Vijay Arya, Deva P. Seetharam, Shivkumar Kalyanaraman, Kejitan Dontas, Christopher J. Pavlovski, Steve Hoy, Jayant R. Kalagnanam
Phase identification in smart grids. SmartGridComm (2011)
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
Learning dynamic temporal graphs for oil-production equipment monitoring system. KDD (2009)
Gail Hohner, John Rich, Ed Ng, Grant Reid, Andrew J. Davenport, Jayant R. Kalagnanam, Ho Soo Lee, Chae An
Special Issue: 2002 Franz Edelman Award for Achievement in Operations Research and the Management Sciences: Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers. Interfaces 33 (1) (2003)
Jayant R. Kalagnanam, Milind Dawande, Mark Trumbo, Ho Soo Lee
The Surplus Inventory Matching Problem in the Process Industry. Oper. Res. 48 (4) (2000)