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 |