Easwar Subramanian

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 16

Top Topics

Heavy Tailed Distributions

Reinforcement Learning

Top Venues

Publications

Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis (Extended Version). CoRR (2024)
Sanjay Chandlekar, Easwar Subramanian, Sujit Gujar
Multi-armed Bandit Based Tariff Generation Strategy for Multi-agent Smart Grid Systems. EMAS (2023)
Bharat Manvi, Easwar Subramanian
A Nash Equilibrium Solution for Periodic Double Auctions. CDC (2023)
Bharat Manvi, Easwar Subramanian
A Nash Equilibrium Solution for Periodic Double Auctions. CoRR (2023)
Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. CoRR (2022)
Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids. IJCAI (2022)
Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. AAMAS (2022)
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. AAAI (2020)
Bala Suraj Pedasingu, Easwar Subramanian, Yogesh Bichpuriya, Venkatesh Sarangan, Nidhisha Mahilong
Bidding Strategy for Two-Sided Electricity Markets: A Reinforcement Learning based Framework. BuildSys@SenSys (2020)
Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. AAAI (2019)
Easwar Subramanian, Yogesh Bichpuriya, Avinash Achar, Sanjay P. Bhat, Abhay Pratap Singh, Venkatesh Sarangan, Akshaya Natarajan
lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets. e-Energy (2019)
Narendhar Gugulothu, Easwar Subramanian, Sanjay P. Bhat
Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates. ICANN (2) (2019)
Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version). CoRR (2019)
Narendhar Gugulothu, Easwar Subramanian
Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks. e-Energy (2019)
Anubhav Jain, Mayank Bakshi, Amit Kalele, Easwar Subramanian
On Accelerating Concurrent PCA Computations for Financial Risk Applications. HiPC (2015)
Easwar Subramanian, Sanjay P. Bhat
Discrete-Time Quadratic-Optimal Hedging Strategies for European Contingent Claims. SSCI (2015)
Easwar Subramanian, VijaySekhar Chellaboina
Explicit solutions of discrete-time quadratic optimal hedging strategies for European contingent claims. CIFEr (2014)
Nicolai Petkov, Easwar Subramanian
Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition. Biol. Cybern. 97 (5-6) (2007)