| The hardness of approximation of euclidean k-means P Awasthi, M Charikar, R Krishnaswamy, AK Sinop arXiv preprint arXiv:1502.03316, 2015 | 128 | 2015 |
| The power of localization for efficiently learning linear separators with noise P Awasthi, MF Balcan, PM Long Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014 | 128 | 2014 |
| Center-based clustering under perturbation stability P Awasthi, A Blum, O Sheffet Information Processing Letters 112 (1-2), 49-54, 2012 | 125 | 2012 |
| Online Stochastic Optimization in the Large: Application to Kidney Exchange. P Awasthi, T Sandholm IJCAI 9, 405-411, 2009 | 105 | 2009 |
| Improved spectral-norm bounds for clustering P Awasthi, O Sheffet Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2012 | 95 | 2012 |
| Decision trees for entity identification: Approximation algorithms and hardness results VT Chakaravarthy, V Pandit, S Roy, P Awasthi, M Mohania Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on …, 2007 | 93* | 2007 |
| Relax, no need to round: Integrality of clustering formulations P Awasthi, AS Bandeira, M Charikar, R Krishnaswamy, S Villar, R Ward Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015 | 92 | 2015 |
| Stability yields a PTAS for k-median and k-means clustering P Awasthi, A Blum, O Sheffet 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 309-318, 2010 | 89 | 2010 |
| Decision trees for entity identification: Approximation algorithms and hardness results VT Chakaravarthy, V Pandit, S Roy, P Awasthi, M Mohania Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on …, 2007 | 82 | 2007 |
| Local algorithms for interactive clustering P Awasthi, MF Balcan, K Voevodski The Journal of Machine Learning Research 18 (1), 75-109, 2017 | 80 | 2017 |
| Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015 | 61 | 2015 |
| Learning mixtures of ranking models P Awasthi, A Blum, O Sheffet, A Vijayaraghavan Advances in Neural Information Processing Systems 27, 2609-2617, 2014 | 61 | 2014 |
| Learning and 1-bit compressed sensing under asymmetric noise P Awasthi, MF Balcan, N Haghtalab, H Zhang Conference on Learning Theory, 152-192, 2016 | 60 | 2016 |
| Fair k-center clustering for data summarization M Kleindessner, P Awasthi, J Morgenstern arXiv preprint arXiv:1901.08628, 2019 | 43 | 2019 |
| Image Modeling Using Tree Structured Conditional Random Fields. P Awasthi, A Gagrani, B Ravindran IJCAI, 2060-2065, 2007 | 41 | 2007 |
| Supervised clustering P Awasthi, RB Zadeh Advances in neural information processing systems, 91-99, 2010 | 38 | 2010 |
| Part of speech tagging and chunking with hmm and crf P Awasthi, D Rao, B Ravindran Proceedings of NLP Association of India (NLPAI) Machine Learning Contest 2006, 2006 | 38 | 2006 |
| Guarantees for spectral clustering with fairness constraints M Kleindessner, S Samadi, P Awasthi, J Morgenstern arXiv preprint arXiv:1901.08668, 2019 | 34 | 2019 |
| Center based clustering: A foundational perspective P Awasthi, MF Balcan CRC, 2014 | 21 | 2014 |
| On some provably correct cases of variational inference for topic models P Awasthi, A Risteski Advances in Neural Information Processing Systems 28, 2098-2106, 2015 | 19 | 2015 |
