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Sham M. Kakade: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sham M. Kakade, Michael J. Kearns
    Trading in Markovian Price Models. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:606-620 [Conf]
  2. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
    Reinforcement Learning in POMDPs Without Resets. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:690-695 [Conf]
  3. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
    The Value of Observation for Monitoring Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2474-2479 [Conf]
  4. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
    Experts in a Markov Decision Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Sham M. Kakade, Adam Kalai
    From Batch to Transductive Online Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  6. Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri
    Economic Properties of Social Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Sham M. Kakade, Andrew Y. Ng
    Online Bounds for Bayesian Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  8. Sham M. Kakade, Matthias Seeger, Dean P. Foster
    Worst-Case Bounds for Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Eyal Even-Dar, Sham M. Kakade, Michael S. Kearns, Yishay Mansour
    (In)Stability properties of limit order dynamics. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2006, pp:120-129 [Conf]
  10. Sham M. Kakade, Dean P. Foster
    Multi-view Regression Via Canonical Correlation Analysis. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:82-96 [Conf]
  11. Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
    Playing games with approximation algorithms. [Citation Graph (0, 0)][DBLP]
    STOC, 2007, pp:546-555 [Conf]
  12. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
    Planning in POMDPs Using Multiplicity Automata. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:185-192 [Conf]

  13. An Information Theoretic Framework for Multi-view Learning. [Citation Graph (, )][DBLP]


  14. Stochastic Linear Optimization under Bandit Feedback. [Citation Graph (, )][DBLP]


  15. Efficient bandit algorithms for online multiclass prediction. [Citation Graph (, )][DBLP]


  16. Multi-view clustering via canonical correlation analysis. [Citation Graph (, )][DBLP]


  17. On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization. [Citation Graph (, )][DBLP]


  18. On the Generalization Ability of Online Strongly Convex Programming Algorithms. [Citation Graph (, )][DBLP]


  19. Mind the Duality Gap: Logarithmic regret algorithms for online optimization. [Citation Graph (, )][DBLP]


  20. The price of truthfulness for pay-per-click auctions. [Citation Graph (, )][DBLP]


  21. A Spectral Algorithm for Learning Hidden Markov Models [Citation Graph (, )][DBLP]


  22. Multi-Label Prediction via Compressed Sensing [Citation Graph (, )][DBLP]


  23. Applications of strong convexity--strong smoothness duality to learning with matrices [Citation Graph (, )][DBLP]


  24. Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity [Citation Graph (, )][DBLP]


  25. Gaussian Process Bandits without Regret: An Experimental Design Approach [Citation Graph (, )][DBLP]


  26. An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes [Citation Graph (, )][DBLP]


  27. Learning from Logged Implicit Exploration Data [Citation Graph (, )][DBLP]


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