- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| i12 |      | |
| 2012 | ||
| c24 | | Shai Ben-David, David Loker, Nathan Srebro, Karthik Sridharan: Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss. ICML 2012 |
| c23 | | Alexander Rakhlin, Ohad Shamir, Karthik Sridharan: Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization. ICML 2012 |
| c22 | | Alexander Rakhlin, Ohad Shamir, Karthik Sridharan: Relax and Randomize : From Value to Algorithms. NIPS 2012: 2150-2158 |
| i11 | | Alexander Rakhlin, Ohad Shamir, Karthik Sridharan: Relax and Localize: From Value to Algorithms. CoRR abs/1204.0870 (2012) |
| i10 | | |
| i9 | | Alexander Rakhlin, Karthik Sridharan: Online Learning with Predictable Sequences. CoRR abs/1208.3728 (2012) |
| 2011 | ||
| j5 | | Dean P. Foster, Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Complexity-Based Approach to Calibration with Checking Rules. Journal of Machine Learning Research - Proceedings Track 19: 293-314 (2011) |
| j4 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Beyond Regret. Journal of Machine Learning Research - Proceedings Track 19: 559-594 (2011) |
| j3 | | Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan: Learning Kernel-Based Halfspaces with the 0-1 Loss. SIAM J. Comput. 40(6): 1623-1646 (2011) |
| c21 | | Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan: Learning Linear and Kernel Predictors with the 0-1 Loss Function. IJCAI 2011: 2740-2745 |
| c20 | | Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan: Better Mini-Batch Algorithms via Accelerated Gradient Methods. NIPS 2011: 1647-1655 |
| c19 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Stochastic, Constrained, and Smoothed Adversaries. NIPS 2011: 1764-1772 |
| c18 | | Nati Srebro, Karthik Sridharan, Ambuj Tewari: On the Universality of Online Mirror Descent. NIPS 2011: 2645-2653 |
| i8 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Stochastic and Constrained Adversaries. CoRR abs/1104.5070 (2011) |
| i7 | | Andrew Cotter, Ohad Shamir, Nathan Srebro, Karthik Sridharan: Better Mini-Batch Algorithms via Accelerated Gradient Methods. CoRR abs/1106.4574 (2011) |
| i6 | | Nathan Srebro, Karthik Sridharan, Ambuj Tewari: On the Universality of Online Mirror Descent. CoRR abs/1107.4080 (2011) |
| 2010 | ||
| j2 | | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan: Learnability, Stability and Uniform Convergence. Journal of Machine Learning Research 11: 2635-2670 (2010) |
| c17 | | |
| c16 | | Ofer Dekel, Claudio Gentile, Karthik Sridharan: Robust Selective Sampling from Single and Multiple Teachers. COLT 2010: 346-358 |
| c15 | | Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan: Learning Kernel-Based Halfspaces with the Zero-One Loss. COLT 2010: 441-450 |
| c14 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Random Averages, Combinatorial Parameters, and Learnability. NIPS 2010: 1984-1992 |
| c13 | | Nathan Srebro, Karthik Sridharan, Ambuj Tewari: Smoothness, Low Noise and Fast Rates. NIPS 2010: 2199-2207 |
| i5 | | Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan: Learning Kernel-Based Halfspaces with the Zero-One Loss. CoRR abs/1005.3681 (2010) |
| i4 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Random Averages, Combinatorial Parameters, and Learnability. CoRR abs/1006.1138 (2010) |
| i3 | | Nathan Srebro, Karthik Sridharan, Ambuj Tewari: Smoothness, Low-Noise and Fast Rates. CoRR abs/1009.3896 (2010) |
| i2 | | Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Online Learning: Beyond Regret. CoRR abs/1011.3168 (2010) |
| 2009 | ||
| c12 | | Shai Shalev-Shwartz, Ohad Shamir, Karthik Sridharan: The Complexity of Improperly Learning Large Margin Halfspaces. COLT 2009 |
| c11 | | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan: Stochastic Convex Optimization. COLT 2009 |
| c10 | | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan: Learnability and Stability in the General Learning Setting. COLT 2009 |
| c9 | | Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan: Multi-view clustering via canonical correlation analysis. ICML 2009: 17 |
| i1 | | Sham M. Kakade, Ohad Shamir, Karthik Sridharan, Ambuj Tewari: Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity. CoRR abs/0911.0054 (2009) |
| 2008 | ||
| c8 | | Karthik Sridharan, Sham M. Kakade: An Information Theoretic Framework for Multi-view Learning. COLT 2008: 403-414 |
| c7 | | Sham M. Kakade, Karthik Sridharan, Ambuj Tewari: On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization. NIPS 2008: 793-800 |
| c6 | | Karthik Sridharan, Shai Shalev-Shwartz, Nathan Srebro: Fast Rates for Regularized Objectives. NIPS 2008: 1545-1552 |
| 2006 | ||
| j1 | | K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik: A neural network based CBIR system using STI features and relevance feedback. Intell. Data Anal. 10(2): 121-137 (2006) |
| c5 | | Karthik Sridharan, Matthew J. Beal, Venu Govindaraju: Competitive Mixtures of Simple Neurons. ICPR (2) 2006: 494-497 |
| c4 | | Faisal Farooq, Karthik Sridharan, Venu Govindaraju: Identifying Handwritten Text in Mixed Documents. ICPR (2) 2006: 1142-1145 |
| 2005 | ||
| c3 | | Karthik Sridharan, Venu Govindaraju: A Sampling Based Approach to Facial Feature Extraction. AutoID 2005: 51-56 |
| c2 | | Karthik Sridharan, Sankalp Nayak, Sharat Chikkerur, Venu Govindaraju: A Probabilistic Approach to Semantic Face Retrieval System. AVBPA 2005: 977-986 |
| c1 | | K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik: A Dynamic Migration Model for Self-adaptive Genetic Algorithms. IDEAL 2005: 555-562 |
Colors in the list of coauthors
Last update Wed May 22 07:15:19 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page