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Karthik Sridharan
Karthik Sridharan
Cornell University, University of Pennsylvania, Toyota Technological Institute
Verified email at ttic.edu - Homepage
Title
Cited by
Cited by
Year
Multi-view clustering via canonical correlation analysis
K Chaudhuri, SM Kakade, K Livescu, K Sridharan
Proceedings of the 26th annual international conference on machine learning …, 2009
8392009
Making gradient descent optimal for strongly convex stochastic optimization
A Rakhlin, O Shamir, K Sridharan
arXiv preprint arXiv:1109.5647, 2011
6322011
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
4092010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
SM Kakade, K Sridharan, A Tewari
Advances in neural information processing systems 21, 2008
3432008
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
Advances in neural information processing systems 24, 2011
3322011
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT 2 (4), 5, 2009
2952009
Optimization, learning, and games with predictable sequences
S Rakhlin, K Sridharan
Advances in Neural Information Processing Systems 26, 2013
2812013
Smoothness, low noise and fast rates
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems 23, 2010
273*2010
Online learning with predictable sequences
A Rakhlin, K Sridharan
Conference on Learning Theory, 993-1019, 2013
2522013
Online optimization: Competing with dynamic comparators
A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan
Artificial Intelligence and Statistics, 398-406, 2015
2112015
Fast rates for regularized objectives
K Sridharan, S Shalev-Shwartz, N Srebro
Advances in neural information processing systems 21, 2008
1562008
On the universality of online mirror descent
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems 24, 2011
1272011
Online learning: Random averages, combinatorial parameters, and learnability
A Rakhlin, K Sridharan, A Tewari
Advances in Neural Information Processing Systems 23, 2010
1192010
An information theoretic framework for multi-view learning
K Sridharan, SM Kakade
1022008
Selective sampling and active learning from single and multiple teachers
O Dekel, C Gentile, K Sridharan
The Journal of Machine Learning Research 13 (1), 2655-2697, 2012
1012012
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
A Cotter, H Jiang, MR Gupta, S Wang, T Narayan, S You, K Sridharan
J. Mach. Learn. Res. 20 (172), 1-59, 2019
982019
Two-player games for efficient non-convex constrained optimization
A Cotter, H Jiang, K Sridharan
Algorithmic Learning Theory, 300-332, 2019
932019
Sequential complexities and uniform martingale laws of large numbers
A Rakhlin, K Sridharan, A Tewari
Probability theory and related fields 161 (1), 111-153, 2015
912015
Learning kernel-based halfspaces with the 0-1 loss
S Shalev-Shwartz, O Shamir, K Sridharan
SIAM Journal on Computing 40 (6), 1623-1646, 2011
90*2011
Learning in games: Robustness of fast convergence
DJ Foster, Z Li, T Lykouris, K Sridharan, E Tardos
Advances in Neural Information Processing Systems 29, 2016
882016
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