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Sham Kakade
List of publications from the DBLP Bibliography Server - FAQ
| * | 2009 | |
|---|---|---|
| 45 | EE | Nikhil R. Devanur, Sham M. Kakade: The price of truthfulness for pay-per-click auctions. ACM Conference on Electronic Commerce 2009: 99-106 |
| 44 | EE | Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan: Multi-view clustering via canonical correlation analysis. ICML 2009: 17 |
| 43 | EE | Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang: Multi-Label Prediction via Compressed Sensing CoRR abs/0902.1284: (2009) |
| 42 | EE | Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari: Applications of strong convexity--strong smoothness duality to learning with matrices CoRR abs/0910.0610: (2009) |
| 2008 | ||
| 41 | EE | Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, Sham Kakade, Alexander Rakhlin, Ambuj Tewari: High-Probability Regret Bounds for Bandit Online Linear Optimization. COLT 2008: 335-342 |
| 40 | EE | Varsha Dani, Thomas P. Hayes, Sham M. Kakade: Stochastic Linear Optimization under Bandit Feedback. COLT 2008: 355-366 |
| 39 | EE | Karthik Sridharan, Sham M. Kakade: An Information Theoretic Framework for Multi-view Learning. COLT 2008: 403-414 |
| 38 | EE | Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari: Efficient bandit algorithms for online multiclass prediction. ICML 2008: 440-447 |
| 37 | EE | Shai Shalev-Shwartz, Sham M. Kakade: Mind the Duality Gap: Logarithmic regret algorithms for online optimization. NIPS 2008: 1457-1464 |
| 36 | EE | Sham M. Kakade, Karthik Sridharan, Ambuj Tewari: On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization. NIPS 2008: 793-800 |
| 35 | EE | Sham M. Kakade, Ambuj Tewari: On the Generalization Ability of Online Strongly Convex Programming Algorithms. NIPS 2008: 801-808 |
| 34 | EE | Daniel Hsu, Sham M. Kakade, Tong Zhang: A Spectral Algorithm for Learning Hidden Markov Models CoRR abs/0811.4413: (2008) |
| 33 | EE | Matthias W. Seeger, Sham M. Kakade, Dean P. Foster: Information Consistency of Nonparametric Gaussian Process Methods. IEEE Transactions on Information Theory 54(5): 2376-2382 (2008) |
| 32 | EE | Sham M. Kakade, Dean P. Foster: Deterministic calibration and Nash equilibrium. J. Comput. Syst. Sci. 74(1): 115-130 (2008) |
| 2007 | ||
| 31 | EE | Sham M. Kakade, Dean P. Foster: Multi-view Regression Via Canonical Correlation Analysis. COLT 2007: 82-96 |
| 30 | EE | Deva Ramanan, Simon Baker, Sham Kakade: Leveragingarchivalvideo for building face datasets. ICCV 2007: 1-8 |
| 29 | EE | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour: The Value of Observation for Monitoring Dynamic Systems. IJCAI 2007: 2474-2479 |
| 28 | EE | Varsha Dani, Thomas P. Hayes, Sham Kakade: The Price of Bandit Information for Online Optimization. NIPS 2007 |
| 27 | EE | Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett: Playing games with approximation algorithms. STOC 2007: 546-555 |
| 2006 | ||
| 26 | EE | Eyal Even-Dar, Sham M. Kakade, Michael S. Kearns, Yishay Mansour: (In)Stability properties of limit order dynamics. ACM Conference on Electronic Commerce 2006: 120-129 |
| 25 | EE | Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. ICML 2006: 97-104 |
| 2005 | ||
| 24 | EE | Sham M. Kakade, Michael J. Kearns: Trading in Markovian Price Models. COLT 2005: 606-620 |
| 23 | EE | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour: Reinforcement Learning in POMDPs Without Resets. IJCAI 2005: 690-695 |
| 22 | EE | Sham M. Kakade, Adam Kalai: From Batch to Transductive Online Learning. NIPS 2005 |
| 21 | EE | Sham M. Kakade, Matthias Seeger, Dean P. Foster: Worst-Case Bounds for Gaussian Process Models. NIPS 2005 |
| 20 | EE | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour: Planning in POMDPs Using Multiplicity Automata. UAI 2005: 185-192 |
| 2004 | ||
| 19 | EE | Sham Kakade, Michael J. Kearns, Yishay Mansour, Luis E. Ortiz: Competitive algorithms for VWAP and limit order trading. ACM Conference on Electronic Commerce 2004: 189-198 |
| 18 | EE | Sham Kakade, Michael J. Kearns, Luis E. Ortiz: Graphical Economics. COLT 2004: 17-32 |
| 17 | EE | Sham Kakade, Dean P. Foster: Deterministic Calibration and Nash Equilibrium. COLT 2004: 33-48 |
| 16 | EE | Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri: Economic Properties of Social Networks. NIPS 2004 |
| 15 | EE | Eyal Even-Dar, Sham M. Kakade, Yishay Mansour: Experts in a Markov Decision Process. NIPS 2004 |
| 14 | EE | Sham M. Kakade, Andrew Y. Ng: Online Bounds for Bayesian Algorithms. NIPS 2004 |
| 2003 | ||
| 13 | EE | Sham Kakade, Michael J. Kearns, John Langford, Luis E. Ortiz: Correlated equilibria in graphical games. ACM Conference on Electronic Commerce 2003: 42-47 |
| 12 | Sham Kakade, Michael J. Kearns, John Langford: Exploration in Metric State Spaces. ICML 2003: 306-312 | |
| 11 | EE | J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider: Policy Search by Dynamic Programming. NIPS 2003 |
| 2002 | ||
| 10 | Sham Kakade, John Langford: Approximately Optimal Approximate Reinforcement Learning. ICML 2002: 267-274 | |
| 9 | Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282 | |
| 8 | John Langford, Martin Zinkevich, Sham Kakade: Competitive Analysis of the Explore/Exploit Tradeoff. ICML 2002: 339-346 | |
| 7 | EE | Sham Kakade, Peter Dayan: Dopamine: generalization and bonuses. Neural Networks 15(4-6): 549-559 (2002) |
| 6 | EE | Nathaniel D. Daw, Sham Kakade, Peter Dayan: Opponent interactions between serotonin and dopamine. Neural Networks 15(4-6): 603-616 (2002) |
| 2001 | ||
| 5 | EE | Sham Kakade: Optimizing Average Reward Using Discounted Rewards. COLT/EuroCOLT 2001: 605-615 |
| 4 | EE | Sham Kakade: A Natural Policy Gradient. NIPS 2001: 1531-1538 |
| 2000 | ||
| 3 | Sham Kakade, Peter Dayan: Dopamine Bonuses. NIPS 2000: 131-137 | |
| 2 | Peter Dayan, Sham Kakade: Explaining Away in Weight Space. NIPS 2000: 451-457 | |
| 1999 | ||
| 1 | EE | Sham Kakade, Peter Dayan: Acquisition in Autoshaping. NIPS 1999: 24-30 |