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Venkatadheeraj Pichapati
Venkatadheeraj Pichapati
在 ucsd.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
On learning distributions from their samples
S Kamath, A Orlitsky, D Pichapati, AT Suresh
Conference on Learning Theory, 1066-1100, 2015
1052015
AdaCliP: Adaptive clipping for private SGD
V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar
arXiv preprint arXiv:1908.07643, 2019
782019
Maximum selection and ranking under noisy comparisons
M Falahatgar, A Orlitsky, V Pichapati, AT Suresh
International Conference on Machine Learning, 1088-1096, 2017
462017
Maxing and ranking with few assumptions
M Falahatgar, Y Hao, A Orlitsky, V Pichapati, V Ravindrakumar
Advances in Neural Information Processing Systems 30, 2017
392017
Faster algorithms for testing under conditional sampling
M Falahatgar, A Jafarpour, A Orlitsky, V Pichapati, AT Suresh
Conference on Learning Theory, 607-636, 2015
292015
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
262018
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
262016
On learning markov chains
Y Hao, A Orlitsky, V Pichapati
Advances in Neural Information Processing Systems 31, 2018
252018
Trajectory-aware location-based hand-offs
H Kowshik, V Pichapati, R Kokku, M Chetlur
US Patent 9,107,132, 2015
212015
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
162016
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
102013
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
92017
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
72015
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
52014
Event-based location sampling for map-matching
VK Kolar, R Kokku, V Pichapati
US Patent 9,212,914, 2015
42015
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
32014
Optimal sequential maximization: one interview is enough!
M Falahatgar, A Orlitsky, V Pichapati
International Conference on Machine Learning, 2975-2984, 2020
22020
Towards Competitive N-gram Smoothing
M Falahatgar, M Ohannessian, A Orlitsky, V Pichapati
International Conference on Artificial Intelligence and Statistics, 4206-4215, 2020
12020
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
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