| On learning distributions from their samples S Kamath, A Orlitsky, D Pichapati, AT Suresh Conference on Learning Theory, 1066-1100, 2015 | 105 | 2015 |
| AdaCliP: Adaptive clipping for private SGD V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar arXiv preprint arXiv:1908.07643, 2019 | 78 | 2019 |
| Maximum selection and ranking under noisy comparisons M Falahatgar, A Orlitsky, V Pichapati, AT Suresh International Conference on Machine Learning, 1088-1096, 2017 | 46 | 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 | 39 | 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 | 29 | 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 | 26 | 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 | 26 | 2016 |
| On learning markov chains Y Hao, A Orlitsky, V Pichapati Advances in Neural Information Processing Systems 31, 2018 | 25 | 2018 |
| Trajectory-aware location-based hand-offs H Kowshik, V Pichapati, R Kokku, M Chetlur US Patent 9,107,132, 2015 | 21 | 2015 |
| 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 | 16 | 2016 |
| Practical considerations in cluster design for co-ordinated multipoint (CoMP) systems V Pichapati, P Gupta 2013 IEEE International Conference on Communications (ICC), 5860-5865, 2013 | 10 | 2013 |
| 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 | 9 | 2017 |
| 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 |
| Location assisted handoffs in dense cellular networks V Pichapati, H Kowshik, AP Subramanian, R Kokku, M Chetlur 2014 Eleventh Annual IEEE International Conference on Sensing, Communication …, 2014 | 5 | 2014 |
| Event-based location sampling for map-matching VK Kolar, R Kokku, V Pichapati US Patent 9,212,914, 2015 | 4 | 2015 |
| On the estimation of available bandwidth in broadband cellular networks UM Devi, H Viswanathan, R Kokku, V Pichapati, S Kalyanaraman 2014 Eleventh Annual IEEE International Conference on Sensing, Communication …, 2014 | 3 | 2014 |
| 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 |
| Privacy preserving machine learning model training AT Suresh, X Yu, S Kumar, SJ Reddi, V Pichapati US Patent App. 16/994,396, 2021 | | 2021 |
| On Learning Parametric Non-Smooth Continuous Distributions S Kamath, A Orlitsky, V Pichapati, E Zobeidi 2020 IEEE International Symposium on Information Theory (ISIT), 2574-2579, 2020 | | 2020 |
Ananda Theertha SureshSenior Research Scientist, Google New York在 google.com 的电子邮件经过验证
