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On Accelerating Concurrent PCA Computations for Financial Risk Applications.

, , , and . HiPC, page 175-184. IEEE Computer Society, (2015)

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lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets., , , , , , and . e-Energy, page 121-127. ACM, (2019)Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks., and . e-Energy, page 403-405. ACM, (2019)VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition., , , , and . AAAI, page 914-921. AAAI Press, (2019)Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version)., , , , and . CoRR, (2019)Bidding Strategy for Two-Sided Electricity Markets: A Reinforcement Learning based Framework., , , , and . BuildSys@SenSys, page 110-119. ACM, (2020)Discrete-Time Quadratic-Optimal Hedging Strategies for European Contingent Claims., and . SSCI, page 1786-1793. IEEE, (2015)On Accelerating Concurrent PCA Computations for Financial Risk Applications., , , and . HiPC, page 175-184. IEEE Computer Society, (2015)Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates., , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 422-433. Springer, (2019)Explicit solutions of discrete-time quadratic optimal hedging strategies for European contingent claims., and . CIFEr, page 449-456. IEEE, (2014)Bidding in Smart Grid PDAs: Theory, Analysis and Strategy., , , , and . AAAI, page 1974-1981. AAAI Press, (2020)