| 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 | 959 | 2009 |
| Making gradient descent optimal for strongly convex stochastic optimization A Rakhlin, O Shamir, K Sridharan arXiv preprint arXiv:1109.5647, 2011 | 846 | 2011 |
| Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan The Journal of Machine Learning Research 11, 2635-2670, 2010 | 564 | 2010 |
| 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 | 436 | 2008 |
| Optimization, learning, and games with predictable sequences S Rakhlin, K Sridharan Advances in Neural Information Processing Systems 26, 2013 | 423 | 2013 |
| Better mini-batch algorithms via accelerated gradient methods A Cotter, O Shamir, N Srebro, K Sridharan Advances in neural information processing systems 24, 2011 | 400 | 2011 |
| Stochastic Convex Optimization. S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan COLT 2 (4), 5, 2009 | 382 | 2009 |
| Online learning with predictable sequences A Rakhlin, K Sridharan Conference on Learning Theory, 993-1019, 2013 | 381 | 2013 |
| Smoothness, low noise and fast rates N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 23, 2010 | 379* | 2010 |
| Online optimization: Competing with dynamic comparators A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan Artificial Intelligence and Statistics, 398-406, 2015 | 321 | 2015 |
| Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals A Cotter, H Jiang, M Gupta, S Wang, T Narayan, S You, K Sridharan Journal of Machine Learning Research 20 (172), 1-59, 2019 | 177 | 2019 |
| Fast rates for regularized objectives K Sridharan, S Shalev-Shwartz, N Srebro Advances in neural information processing systems 21, 2008 | 173 | 2008 |
| Online learning: Random averages, combinatorial parameters, and learnability A Rakhlin, K Sridharan, A Tewari Advances in Neural Information Processing Systems 23, 2010 | 146 | 2010 |
| On the universality of online mirror descent N Srebro, K Sridharan, A Tewari Advances in neural information processing systems 24, 2011 | 145 | 2011 |
| Two-player games for efficient non-convex constrained optimization A Cotter, H Jiang, K Sridharan Algorithmic Learning Theory, 300-332, 2019 | 141 | 2019 |
| Sequential complexities and uniform martingale laws of large numbers A Rakhlin, K Sridharan, A Tewari Probability theory and related fields 161, 111-153, 2015 | 138 | 2015 |
| An information theoretic framework for multi-view learning K Sridharan, SM Kakade COLT, 403-414, 2008 | 133 | 2008 |
| 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 | 127 | 2016 |
| 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 | 121 | 2012 |
| Training well-generalizing classifiers for fairness metrics and other data-dependent constraints A Cotter, M Gupta, H Jiang, N Srebro, K Sridharan, S Wang, B Woodworth, ... International Conference on Machine Learning, 1397-1405, 2019 | 120 | 2019 |
