Karthik Sridharan
Karthik Sridharan
Cornell University, University of Pennsylvania, Toyota Technological Institute
Verified email at ttic.edu - Homepage
TitleCited byYear
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 c, 2009
5302009
Making gradient descent optimal for strongly convex stochastic optimization
A Rakhlin, O Shamir, K Sridharan
arXiv preprint arXiv:1109.5647, 2011
3472011
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
SM Kakade, K Sridharan, A Tewari
Advances in neural information processing systems, 793-800, 2009
2072009
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
Journal of Machine Learning Research 11 (Oct), 2635-2670, 2010
2032010
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
Advances in neural information processing systems, 1647-1655, 2011
1972011
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT, 2009
1672009
Smoothness, low noise and fast rates
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems, 2199-2207, 2010
140*2010
Online learning with predictable sequences
A Rakhlin, K Sridharan
1072013
Fast rates for regularized objectives
K Sridharan, S Shalev-Shwartz, N Srebro
Advances in Neural Information Processing Systems, 1545-1552, 2009
1032009
Online learning: Random averages, combinatorial parameters, and learnability
A Rakhlin, K Sridharan, A Tewari
Advances in Neural Information Processing Systems, 1984-1992, 2010
91*2010
On the universality of online mirror descent
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems, 2645-2653, 2011
852011
Online optimization: Competing with dynamic comparators
A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan
Artificial Intelligence and Statistics, 398-406, 2015
832015
Optimization, learning, and games with predictable sequences
S Rakhlin, K Sridharan
Advances in Neural Information Processing Systems, 3066-3074, 2013
832013
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
74*2011
An information theoretic framework for multi-view learning
K Sridharan, SM Kakade
742008
Selective sampling and active learning from single and multiple teachers
O Dekel, C Gentile, K Sridharan
Journal of Machine Learning Research 13 (Sep), 2655-2697, 2012
642012
Online learning: Beyond regret
A Rakhlin, K Sridharan, A Tewari
592011
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 c, 2010
592010
Relax and randomize: From value to algorithms
S Rakhlin, O Shamir, K Sridharan
Advances in Neural Information Processing Systems, 2141-2149, 2012
58*2012
Robust Selective Sampling from Single and Multiple Teachers.
O Dekel, C Gentile, K Sridharan
COLT, 346-358, 2010
522010
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Articles 1–20