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Jialin LIU (刘佳琳), ph.D student


Jialin LIU's homepage

Short Introduction

I am a ph.D student (since April 2013) working on the project POST (INRIA), supervised by Olivier Teytaud and Marc Schoenauer. My ph.D topic is "Strategy Optimization With Uncertainties, with Applications in Energy Management". I'm a member of the TAO group (INRIA SaclayCNRSLRIUniversité Paris-Sud).

Contact

Office 2028, DIGITEO, bâtiment 660, Université Paris-Sud 
Rue Noetzlin, 91190 Gif-sur-Yvette, France 
Email : jialin.liu(@)inria.fr

CVs

Main Topics of Research

  • Reinforcement Learning

  • Noisy Optimization

  • Algorithm Selection

Education

Teaching

  • Computer Networks, 1st-year of Master in Computer Science, Université Paris-Sud. 2013-2014.

  • Computer Networks, 4th-year of Engineering in Computer Science, Polytech'Paris-Sud. 2013-2014.

    NS2 and TPs.
  • Computer and Internet Certificate, Université Paris-Sud. 2013-2014.


Olivier Teytaud   

Journal articles2 documents

  • Sandra Astete-Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud. Simple and Cumulative Regret for Continuous Noisy Optimization. Theoretical Computer Science, Elsevier, 2015, 617, pp.12-27. ⟨10.1016/j.tcs.2015.09.032⟩. ⟨hal-01194564⟩
  • Marie-Liesse Cauwet, Jialin Liu, Rozière Baptiste, Olivier Teytaud. Algorithm Portfolios for Noisy Optimization. Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2015, pp.1-30. ⟨10.1007/s10472-015-9486-2⟩. ⟨hal-01223113⟩

Conference papers8 documents

  • Marie-Liesse Cauwet, Jérémie Decock, Jialin Liu, Olivier Teytaud. Direct Model Predictive Control: A Theoretical and Numerical Analysis. PSCC 2018 - XX Power Systems Computation Conference, Jun 2018, Dublin, Ireland. ⟨hal-01701623⟩
  • Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud. Learning opening books in partially observable games: using random seeds in Phantom Go. CIG 2016 - Computer intelligence and Games, Sep 2016, Santorini, Greece. ⟨hal-01413229⟩
  • David L. St-Pierre, Jialin Liu, Olivier Teytaud. Nash Reweighting of Monte Carlo Simulations: Tsumego. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.1458 - 1465, ⟨10.1109/CEC.2015.7257060⟩. ⟨hal-01245520⟩
  • Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsang-Cheng Su, Fabien Teytaud, et al.. Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC 2015), May 2015, Sendai, Japan. pp.338 - 345, ⟨10.1109/CEC.2015.7256911⟩. ⟨hal-01245526⟩
  • Wang Mei-Hui, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, et al.. Item response theory with fuzzy markup language for parameter estimation and validation. 2015 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), Aug 2015, Istanbul, Turkey. pp.1 - 7, ⟨10.1109/FUZZ-IEEE.2015.7337884⟩. ⟨hal-01245695⟩
  • Tristan Cazenave, Jialin Liu, Olivier Teytaud. The Rectangular Seeds of Domineering, Atari-Go and Breakthrough. 2015 IEEE Conference on Computational Intelligence and Games (CIG), Aug 2015, Tainan, Taiwan. pp.530 - 531, ⟨10.1109/CIG.2015.7317904⟩. ⟨hal-01245531⟩
  • Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud. Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Artificial Evolution (EA2015), 2015, Lyon, France. ⟨hal-01194510⟩
  • Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsang-Cheng Su, Fabien Teytaud, et al.. Differential Evolution for Strongly Noisy Optimization: Use 1.01$^n$ Resamplings at Iteration n and Reach the -1/2 Slope. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC), May 2015, Sendai, Japan. ⟨hal-01120892⟩

Documents associated with scientific events1 document

  • Sandra Astete-Morales, Marie-Liesse Cauwet, Adrien Couetoux, Jérémie Decock, Jialin Liu, et al.. Noisy Optimization. Dagstuhl seminar 13271, 2013, Dagstuhl, Germany. 2013. ⟨hal-00844305⟩