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Contributed Papers

Transfer and Reinforcement Learning

Mon, Aug 7, 8:30 AM

Cheryl BrooksChair

Section on Statistical Learning and Data Science

7 Presentations

Semi-supervised Domain Adaptation Based Fault Diagnosis on Rotating Machinery

8:35 AM - 8:50 AM

Co-authors: Jaehong Yu

Transfer learning on the generalized linear model.

8:50 AM - 9:05 AM

Co-authors: Mathias Bourel (Universidad de la Republica)

WITHDRAWN A linear adjustment based approach to the posterior drift problem in transfer learning

9:05 AM - 9:20 AM

Co-authors: Subha Maity (University of Michigan), Diptavo Dutta, Jonathan Terhorst (University of Michigan), Yuekai Sun, Moulinath Banerjee (University of Michigan)

Online Reinforcement Learning Policies for Stochastic Continuous Environments

9:20 AM - 9:35 AM

Mohamad Kazem Shirani Faradonbeh (University of Georgia)

Reinforcement Learning and Indicator Selection in the Prediction of Equity Markets

9:35 AM - 9:50 AM

Co-authors: Jon Hinkle (Seeker Investments LLC)

Federated Offline Reinforcement Learning

9:50 AM - 10:05 AM

Co-authors: Yufeng Zhang (Northwestern University), Aaron Sonabend-W (Harvard University), Zhaoran Wang (Northwestern University), Junwei Lu (Harvard T.H. Chan School of Public Health), Tianxi Cai (Harvard University)

Comparing Multi Armed Bandits with Randomized control trials and multi-arm multi-stage experiments

10:05 AM - 10:20 AM

MANIKANDAN RADHAKRISHNAN (Fidelity Investments)

Co-authors: KARTHICK S RAJA (FIDELITY INVESTMENTS), Ping Yao, Victor Lo (Fidelity Investments), VINOD KUMAR TIRUPATI (FIDELITY INVESTMENTS)

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