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2020 – today
- 2020
[c15]Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati:
Towards Competitive N-gram Smoothing. AISTATS 2020: 4206-4215- [c14]Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati:
Optimal Sequential Maximization: One Interview is Enough! ICML 2020: 2975-2984 - [c13]Sudeep Kamath, Alon Orlitsky, Venkatadheeraj Pichapati, Ehsan Zobeidi:
On Learning Parametric Non-Smooth Continuous Distributions. ISIT 2020: 2574-2579
2010 – 2019
- 2019
- [b1]Venkatadheeraj Pichapati:
Maxing, Ranking and Preference Learning. University of California, San Diego, USA, 2019 - [i5]Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
AdaCliP: Adaptive Clipping for Private SGD. CoRR abs/1908.07643 (2019) - 2018
- [c12]Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar:
The Limits of Maxing, Ranking, and Preference Learning. ICML 2018: 1426-1435 - [c11]Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati:
On Learning Markov Chains. NeurIPS 2018: 646-655 - [i4]Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati:
On Learning Markov Chains. CoRR abs/1810.11754 (2018) - 2017
- [c10]Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Maximum Selection and Ranking under Noisy Comparisons. ICML 2017: 1088-1096 - [c9]Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati:
The power of absolute discounting: all-dimensional distribution estimation. NIPS 2017: 6660-6669 - [c8]Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar:
Maxing and Ranking with Few Assumptions. NIPS 2017: 7060-7070 - [i3]Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Maximum Selection and Ranking under Noisy Comparisons. CoRR abs/1705.05366 (2017) - 2016
- [c7]Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Estimating the number of defectives with group testing. ISIT 2016: 1376-1380 - [c6]Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Learning Markov distributions: Does estimation trump compression? ISIT 2016: 2689-2693 - 2015
- [c5]Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Faster Algorithms for Testing under Conditional Sampling. COLT 2015: 607-636 - [c4]Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Universal compression of power-law distributions. ISIT 2015: 2001-2005 - [i2]Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapathi, Ananda Theertha Suresh:
Faster Algorithms for Testing under Conditional Sampling. CoRR abs/1504.04103 (2015) - [i1]Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh:
Universal Compression of Power-Law Distributions. CoRR abs/1504.08070 (2015) - 2014
- [c3]Venkatadheeraj Pichapati, Hemant Kowshik, Anand Prabhu Subramanian, Ravi Kokku, Malolan Chetlur:
Location assisted handoffs in dense cellular networks. SECON 2014: 1-9 - [c2]UmaMaheswari Devi, Hariharasudhan Viswanathan, Ravi Kokku, Venkatadheeraj Pichapati, Shivkumar Kalyanaraman:
On the estimation of available bandwidth in broadband cellular networks. SECON 2014: 19-27 - 2013
- [c1]Venkatadheeraj Pichapati, Parul Gupta:
Practical considerations in cluster design for Co-ordinated Multipoint (CoMP) systems. ICC 2013: 5860-5865
Coauthor Index
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