Author|Conference|Journal|Year
Look for results that meet for the following criteria:
View Top Co-Authors In Visual Explorer
Sham M. Kakade

Top Co-Authors:

ObjectID : Author/1403669
Sham M. Kakade
Embed Subscribe

Publications: 57
|
Citations: 538
|
G-Index: 22
|
H-Index: 14
Research Interest: Machine Learning and Pattern Recognition, Artificial Intelligence, Algorithms and Theory
University College London
Order by: Year|Citation|Rank
The rank of a paper is calculated by considering the authors, the published conference or journal, and its citation graph. The highest ranking result will appear first.                   Learn more
Year 2009
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan :
Multi-view clustering via canonical correlation analysis
, ICML
, 2009
(Citations: 2)
Nikhil R. Devanur, Sham M. Kakade :
The price of truthfulness for pay-per-click auctions
, EC
, 2009
(Citations: 2)
Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias Seeger :
Gaussian Process Bandits without Regret: An Experimental Design Approach
, CORR
, 2009
Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang :
Multi-Label Prediction via Compressed Sensing
, CORR
, 2009
Sham M. Kakade, Ohad Shamir, Karthik Sridharan, Ambuj Tewari :
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
, CORR
, 2009
Sham M. Kakade, Shai Shalev-shwartz, Ambuj Tewari :
Applications of strong convexity--strong smoothness duality to learning with matrices
, CORR
, 2009
Year 2008
Varsha Dani, Thomas P. Hayes, Sham M. Kakade :
Stochastic Linear Optimization under Bandit Feedback
, COLT
, 2008
(Citations: 6)
Sham M. Kakade, Shai Shalev-shwartz, Ambuj Tewari :
Efficient bandit algorithms for online multiclass prediction
, ICML
, 2008
(Citations: 4)
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
(Citations: 2)
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari :
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
, NIPS
, 2008
(Citations: 2)
Daniel Hsu, Sham M. Kakade, Tong Zhang :
A Spectral Algorithm for Learning Hidden Markov Models
, CORR
, 2008
(Citations: 1)
Matthias W. Seeger, Sham M. Kakade, Dean P. Foster :
Information Consistency of Nonparametric Gaussian Process Methods
, TIT
, 2008
(Citations: 1)
Sham M. Kakade, Dean P. Foster :
Deterministic calibration and Nash equilibrium
, JCSS
, 2008
(Citations: 1)
Karthik Sridharan, Sham M. Kakade :
An Information Theoretic Framework for Multi-view Learning
, COLT
, 2008
(Citations: 2)
Shai Shalev-shwartz, Sham M. Kakade :
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
, NIPS
, 2008
Sham M. Kakade, Ambuj Tewari :
On the Generalization Ability of Online Strongly Convex Programming Algorithms
, NIPS
, 2008
Year 2007
Sham M. Kakade, Dean P. Foster :
Multi-view Regression Via Canonical Correlation Analysis
, COLT
, 2007
(Citations: 9)
Varsha Dani, Thomas P. Hayes, Sham Kakade :
The Price of Bandit Information for Online Optimization
, NIPS
, 2007
(Citations: 4)
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett :
Playing games with approximation algorithms
, STOC
, 2007
(Citations: 6)
Deva Ramanan, Simon Baker, Sham Kakade :
Leveragingarchivalvideo for building face datasets
, ICCV
, 2007
(Citations: 3)
Eyal Even-dar, Sham M. Kakade, Yishay Mansour :
The Value of Observation for Monitoring Dynamic Systems
, IJCAI
, 2007
(Citations: 1)
Year 2006
Alina Beygelzimer, Sham Kakade, John Langford :
Cover trees for nearest neighbor
, ICML
, 2006
(Citations: 49)
Eyal Even-dar, Sham M. Kakade, Michael S. Kearns, Yishay Mansour :
(In)Stability properties of limit order dynamics
, EC
, 2006
(Citations: 2)
Year 2005
Eyal Even-dar, Sham M. Kakade, Yishay Mansour :
Reinforcement Learning in POMDPs Without Resets
, IJCAI
, 2005
(Citations: 8)
Sham M. Kakade, Michael J. Kearns :
Trading in Markovian Price Models
, COLT
, 2005
(Citations: 3)
Sham M. Kakade, Matthias Seeger, Dean P. Foster :
Worst-Case Bounds for Gaussian Process Models
, NIPS
, 2005
(Citations: 3)
Sham M. Kakade, Adam Kalai :
From Batch to Transductive Online Learning
, NIPS
, 2005
(Citations: 1)
Eyal Even-dar, Sham M. Kakade, Yishay Mansour :
Planning in POMDPs Using Multiplicity Automata
, UAI
, 2005
(Citations: 1)
Year 2004
Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri :
Economic Properties of Social Networks
, NIPS
, 2004
(Citations: 25)
Sham Kakade, Dean P. Foster :
Deterministic Calibration and Nash Equilibrium
, COLT
, 2004
(Citations: 23)
Sham Kakade, Michael J. Kearns, Luis E. Ortiz :
Graphical Economics
, COLT
, 2004
(Citations: 12)
Sham Kakade, Michael J. Kearns, Yishay Mansour, Luis E. Ortiz :
Competitive algorithms for VWAP and limit order trading
, EC
, 2004
(Citations: 6)
Sham M. Kakade, Andrew Y. Ng :
Online Bounds for Bayesian Algorithms
, NIPS
, 2004
(Citations: 8)
Eyal Even-dar, Sham M. Kakade, Yishay Mansour :
Experts in a Markov Decision Process
, NIPS
, 2004
(Citations: 7)
Year 2003
Sham Kakade :
On the Sample Complexity of Reinforcement Learning
, 2003
(Citations: 50)
Sham Kakade, Michael J. Kearns, John Langford, Luis E. Ortiz :
Correlated equilibria in graphical games
, EC
, 2003
(Citations: 24)
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff G. Schneider :
Policy Search by Dynamic Programming
, NIPS
, 2003
(Citations: 21)
Sham Kakade, Michael J. Kearns, John Langford :
Exploration in Metric State Spaces
, ICML
, 2003
(Citations: 16)
Year 2002
Nathaniel D. Daw, Sham Kakade, Peter Dayan :
Opponent interactions between serotonin and dopamine
, Neural Networks
, 2002
(Citations: 59)
Sham Kakade, Yee Whye Teh, Sam T. Roweis :
An Alternate Objective Function for Markovian Fields
, ICML
, 2002
(Citations: 23)
Sham Kakade, Peter Dayan :
Dopamine: generalization and bonuses
, Neural Networks
, 2002
(Citations: 28)
Sham Kakade, John Langford :
Approximately Optimal Approximate Reinforcement Learning
, ICML
, 2002
(Citations: 14)
S. Kakade, P. Dayan :
Acquisition and extinction in autoshaping
, 2002
(Citations: 14)
John Langford, Martin Zinkevich, Sham Kakade :
Competitive Analysis of the Explore/Exploit Tradeoff
, ICML
, 2002
Year 2001
Sham Kakade :
A Natural Policy Gradient
, NIPS
, 2001
(Citations: 44)
Sham Kakade :
Optimizing Average Reward Using Discounted Rewards
, COLT
, 2001
(Citations: 4)
Year 2000
P. Dayan, S. Kakade, P. R. Montague :
Learning and selective attention
, 2000
(Citations: 37)
Peter Dayan, Sham Kakade :
Explaining Away in Weight Space
, NIPS
, 2000
(Citations: 4)
Sham Kakade, Peter Dayan :
Dopamine Bonuses
, NIPS
, 2000
(Citations: 4)
Year 1999
Sham Kakade, Peter Dayan :
Acquisition in Autoshaping
, NIPS
, 1999
(Citations: 1)
Year Unknown
Luis E. Ortiz, Robert E. Schapire, Sham M. Kakade :
Maximum Entropy Correlated Equilibria
(Citations: 1)
Dean P. Foster, H. Peyton Young, Sham Kakade, Ben Klemens, Thomas Norman, Kislaya Prasad :
Regret Testing: A Simple Payo¤-Based
Sham M. Kakade, Tti Chicago, Dean P. Foster, Tong Zhang :
Semi-Supervised Dimensionality Reduction via Canonical Correlation Analysis
Dean P. Foster, Rie Johnson, Sham M. Kakade, Tong Zhang :
Multi-View Dimensionality Reduction via Canonical Correlation Analysis
Dean P. Foster, Sham M. Kakade, Orit Ronen :
Early Retirement Using Leveraged Investments
John Blitzer, Dean P. Foster, Sham M. Kakade :
Zero-Shot Domain Adaptation: A Multi-View Approach
Sham Kakade, Adam Tauman Kalai, Katrina Ligett :
Approximation Algorithms Going Online
Microsoft Research Asia | Help | Feedback | Specific Terms
©2010 Microsoft Corporation. All rights reserved. Terms of Use | Trademarks | Privacy Statement