Jayant R. Kalagnanam

16 papers A* 2C 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets.
IEEE Control. Syst. Lett.
Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
2022 J jnl
Finite-sum smooth optimization with SARAH.
Comput. Optim. Appl.
Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
2021 C conf
Batched Learning in Generalized Linear Contextual Bandits with General Decision Sets.
ACC
Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam
2021 J jnl
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.
CoRR
Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi
2021 C conf
Regression Optimization for System-level Production Control.
ACC
Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam
2021 J jnl
Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.
SIAM J. Sci. Comput.
Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam
2020 J jnl
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees.
CoRR
Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam
2020 A* conf
Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization.
ICDM
Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
2020 J jnl
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network.
CoRR
Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam
2019 — conf
DQA: Scalable, Automated and Interactive Data Quality Advisor.
IEEE BigData
Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam
2019 J jnl
Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH.
CoRR
Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
2018 J jnl
When Does Stochastic Gradient Algorithm Work Well?
CoRR
Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
2011 — conf
Phase identification in smart grids.
SmartGridComm
Vijay Arya, Deva P. Seetharam, Shivkumar Kalyanaraman, Kejitan Dontas, Christopher J. Pavlovski, Steve Hoy, Jayant R. Kalagnanam
2009 A* conf
Learning dynamic temporal graphs for oil-production equipment monitoring system.
KDD
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
2003 J jnl
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
Gail Hohner, John Rich, Ed Ng, Grant Reid, Andrew J. Davenport, Jayant R. Kalagnanam, Ho Soo Lee, Chae An
2000 J jnl
The Surplus Inventory Matching Problem in the Process Industry.
Oper. Res.
Jayant R. Kalagnanam, Milind Dawande, Mark Trumbo, Ho Soo Lee