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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
8102009
Making gradient descent optimal for strongly convex stochastic optimization
A Rakhlin, O Shamir, K Sridharan
arXiv preprint arXiv:1109.5647, 2011
5962011
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
3792010
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
3242008
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
Advances in neural information processing systems 24, 2011
3142011
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT 2 (4), 5, 2009
2782009
Smoothness, low noise and fast rates
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems 23, 2010
255*2010
Optimization, learning, and games with predictable sequences
S Rakhlin, K Sridharan
Advances in Neural Information Processing Systems 26, 2013
2422013
Online learning with predictable sequences
A Rakhlin, K Sridharan
Conference on Learning Theory, 993-1019, 2013
2272013
Online optimization: Competing with dynamic comparators
A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan
Artificial Intelligence and Statistics, 398-406, 2015
1932015
Fast rates for regularized objectives
K Sridharan, S Shalev-Shwartz, N Srebro
Advances in neural information processing systems 21, 2008
1492008
On the universality of online mirror descent
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems 24, 2011
1182011
Online learning: Random averages, combinatorial parameters, and learnability
A Rakhlin, K Sridharan, A Tewari
Advances in Neural Information Processing Systems 23, 2010
1102010
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
972012
An information theoretic framework for multi-view learning
K Sridharan, SM Kakade
962008
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
88*2011
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
812015
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
802019
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
802016
Learning exponential families in high-dimensions: Strong convexity and sparsity
S Kakade, O Shamir, K Sindharan, A Tewari
Proceedings of the thirteenth international conference on artificial …, 2010
772010
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Articles 1–20