| Maximum selection and ranking under noisy comparisons M Falahatgar, A Orlitsky, V Pichapati, AT Suresh International Conference on Machine Learning, 1088-1096, 2017 | 61 | 2017 |
| Maxing and ranking with few assumptions M Falahatgar, Y Hao, A Orlitsky, V Pichapati, V Ravindrakumar Advances in Neural Information Processing Systems 30, 2017 | 45 | 2017 |
| Faster algorithms for testing under conditional sampling M Falahatgar, A Jafarpour, A Orlitsky, V Pichapati, AT Suresh Conference on Learning Theory, 607-636, 2015 | 37 | 2015 |
| The limits of maxing, ranking, and preference learning M Falahatgar, A Jain, A Orlitsky, V Pichapati, V Ravindrakumar International conference on machine learning, 1427-1436, 2018 | 34 | 2018 |
| Estimating the number of defectives with group testing M Falahatgar, A Jafarpour, A Orlitsky, V Pichapati, AT Suresh 2016 IEEE International Symposium on Information Theory (ISIT), 1376-1380, 2016 | 31 | 2016 |
| Learning markov distributions: Does estimation trump compression? M Falahatgar, A Orlitsky, V Pichapati, AT Suresh 2016 IEEE International Symposium on Information Theory (ISIT), 2689-2693, 2016 | 21 | 2016 |
| Maximum selection and sorting with adversarial comparators J Acharya, M Falahatgar, A Jafarpour, A Orlitsky, AT Suresh Journal of Machine Learning Research 19 (59), 1-31, 2018 | 15 | 2018 |
| The power of absolute discounting: all-dimensional distribution estimation M Falahatgar, MI Ohannessian, A Orlitsky, V Pichapati Advances in Neural Information Processing Systems 30, 2017 | 10 | 2017 |
| Near-optimal smoothing of structured conditional probability matrices M Falahatgar, MI Ohannessian, A Orlitsky Advances in Neural Information Processing Systems 29, 2016 | 8 | 2016 |
| Maximum selection and sorting with adversarial comparators and an application to density estimation J Acharya, M Falahatgar, A Jafarpour, A Orlitsky, AT Suresh arXiv preprint arXiv:1606.02786, 2016 | 7 | 2016 |
| Universal compression of power-law distributions M Falahatgar, A Jafarpour, A Orlitsky, V Pichapati, AT Suresh 2015 IEEE International Symposium on Information Theory (ISIT), 2001-2005, 2015 | 7 | 2015 |
| Optimal sequential maximization: one interview is enough! M Falahatgar, A Orlitsky, V Pichapati International Conference on Machine Learning, 2975-2984, 2020 | 2 | 2020 |
| Towards Competitive N-gram Smoothing M Falahatgar, M Ohannessian, A Orlitsky, V Pichapati International Conference on Artificial Intelligence and Statistics, 4206-4215, 2020 | 1 | 2020 |
| Learning Structured Distributions: Power-Law and Low-Rank M Falahatgar University of California, San Diego, 2019 | | 2019 |
Venkatadheeraj PichapatiUCSDVerified email at ucsd.edu
