Karthik Sridharan
Karthik Sridharan
Cornell University, University of Pennsylvania, Toyota Technological Institute
在 ttic.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
7512009
Making gradient descent optimal for strongly convex stochastic optimization
A Rakhlin, O Shamir, K Sridharan
arXiv preprint arXiv:1109.5647, 2011
5502011
Learnability, stability and uniform convergence
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
The Journal of Machine Learning Research 11, 2635-2670, 2010
3382010
On the complexity of linear prediction: Risk bounds, margin bounds, and regularization
SM Kakade, K Sridharan, A Tewari
3112008
Better mini-batch algorithms via accelerated gradient methods
A Cotter, O Shamir, N Srebro, K Sridharan
arXiv preprint arXiv:1106.4574, 2011
2982011
Stochastic Convex Optimization.
S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan
COLT 2 (4), 5, 2009
2692009
Smoothness, low noise and fast rates
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems 23, 2010
240*2010
Optimization, learning, and games with predictable sequences
A Rakhlin, K Sridharan
arXiv preprint arXiv:1311.1869, 2013
1962013
Online learning with predictable sequences
A Rakhlin, K Sridharan
Conference on Learning Theory, 993-1019, 2013
1922013
Online optimization: Competing with dynamic comparators
A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan
Artificial Intelligence and Statistics, 398-406, 2015
1612015
Fast rates for regularized objectives
K Sridharan, S Shalev-Shwartz, N Srebro
Advances in neural information processing systems 21, 1545-1552, 2008
1452008
On the universality of online mirror descent
N Srebro, K Sridharan, A Tewari
Advances in neural information processing systems, 2645-2653, 2011
1132011
Online learning: Random averages, combinatorial parameters, and learnability
A Rakhlin, K Sridharan, A Tewari
1012010
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
942012
An information theoretic framework for multi-view learning
K Sridharan, SM Kakade
872008
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
85*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, 4734-4742, 2016
792016
Relax and randomize: From value to algorithms
A Rakhlin, O Shamir, K Sridharan
76*2012
Online learning: Beyond regret
A Rakhlin, K Sridharan, A Tewari
Proceedings of the 24th Annual Conference on Learning Theory, 559-594, 2011
762011
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
732010
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