Moein Falahatgar

According to our database, Moein Falahatgar authored at least 13 papers between 2015 and 2020.

Collaborative distances:

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

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

2018

Maximum Selection and Sorting with Adversarial Comparators.

Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh

J. Mach. Learn. Res., 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

Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation.

Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh

CoRR, 2016

Near-Optimal Smoothing of Structured Conditional Probability Matrices.

Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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