Sham M. Kakade

Sham Kakade

2009
42	EE	Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang: Multi-Label Prediction via Compressed Sensing CoRR abs/0902.1284: (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

Coauthor Index

1	J. Andrew Bagnell	[11]
2	Simon Baker	[30]
3	Peter L. Bartlett	[41]
4	Alina Beygelzimer	[25]
5	Varsha Dani	[28] [40] [41]
6	Nathaniel D. Daw	[6]
7	Peter Dayan	[1] [2] [3] [6] [7]
8	Eyal Even-Dar	[15] [20] [23] [26] [29]
9	Dean P. Foster	[17] [21] [31] [32] [33]
10	Thomas P. Hayes	[28] [40] [41]
11	Daniel Hsu	[34] [42]
12	Adam Tauman Kalai (Adam Kalai)	[22] [27]
13	Michael J. Kearns	[12] [13] [16] [18] [19] [24]
14	Michael S. Kearns	[26]
15	John Langford	[8] [10] [12] [13] [25] [42]
16	Katrina Ligett	[27]
17	Yishay Mansour	[15] [19] [20] [23] [26] [29]
18	Andrew Y. Ng	[11] [14]
19	Luis E. Ortiz	[13] [16] [18] [19]
20	Robin Pemantle	[16]
21	Alexander Rakhlin	[41]
22	Deva Ramanan	[30]
23	Sam T. Roweis	[9]
24	Jeff G. Schneider	[11]
25	Matthias Seeger	[21]
26	Matthias W. Seeger	[33]
27	Shai Shalev-Shwartz	[37] [38]
28	Karthik Sridharan	[36] [39]
29	Siddharth Suri	[16]
30	Yee Whye Teh	[9]
31	Ambuj Tewari	[35] [36] [38] [41]
32	Tong Zhang	[34] [42]
33	Martin Zinkevich	[8]

Colors in the list of coauthors