Venkatadheeraj Pichapati

According to our database, Venkatadheeraj Pichapati authored at least 17 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

On Learning Parametric Non-Smooth Continuous Distributions.

Sudeep Kamath, Alon Orlitsky, Venkatadheeraj Pichapati, Ehsan Zobeidi

Proceedings of the IEEE International Symposium on Information Theory, 2020

Optimal Sequential Maximization: One Interview is Enough!

Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati

Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Competitive N-gram Smoothing.

Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Maxing, Ranking and Preference Learning.

Venkatadheeraj Pichapati

PhD thesis, 2019

AdaCliP: Adaptive Clipping for Private SGD.

Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar

CoRR, 2019

2018

On Learning Markov Chains.

Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Limits of Maxing, Ranking, and Preference Learning.

Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

The power of absolute discounting: all-dimensional distribution estimation.

Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Maxing and Ranking with Few Assumptions.

Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Maximum Selection and Ranking under Noisy Comparisons.

Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Learning Markov distributions: Does estimation trump compression?

Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh

Proceedings of the IEEE International Symposium on Information Theory, 2016

Estimating the number of defectives with group testing.

Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Universal compression of power-law distributions.

Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh

Proceedings of the IEEE International Symposium on Information Theory, 2015

Faster Algorithms for Testing under Conditional Sampling.

Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Location assisted handoffs in dense cellular networks.

Venkatadheeraj Pichapati, Hemant Kowshik, Anand Prabhu Subramanian, Ravi Kokku, Malolan Chetlur

Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

On the estimation of available bandwidth in broadband cellular networks.

UmaMaheswari Devi, Hariharasudhan Viswanathan, Ravi Kokku, Venkatadheeraj Pichapati, Shivkumar Kalyanaraman

Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

2013

Practical considerations in cluster design for Co-ordinated Multipoint (CoMP) systems.

Venkatadheeraj Pichapati, Parul Gupta

Proceedings of IEEE International Conference on Communications, 2013