Moein Falahatgar

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 12

Top Topics

Stochastic Sampling

Conditional Distributions

Preference Learning

Top Venues

Publications

Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati
Towards Competitive N-gram Smoothing. AISTATS (2020)
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati
Optimal Sequential Maximization: One Interview is Enough! ICML (2020)
Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
Maximum Selection and Sorting with Adversarial Comparators. J. Mach. Learn. Res. 19 (2018)
Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar
The Limits of Maxing, Ranking, and Preference Learning. ICML (2018)
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Maximum Selection and Ranking under Noisy Comparisons. CoRR (2017)
Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky, Venkatadheeraj Pichapati
The power of absolute discounting: all-dimensional distribution estimation. NIPS (2017)
Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar
Maxing and Ranking with Few Assumptions. NIPS (2017)
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Maximum Selection and Ranking under Noisy Comparisons. ICML (2017)
Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky
Near-Optimal Smoothing of Structured Conditional Probability Matrices. NIPS (2016)
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Learning Markov distributions: Does estimation trump compression? ISIT (2016)
Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation. CoRR (2016)
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Estimating the number of defectives with group testing. ISIT (2016)
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Universal compression of power-law distributions. ISIT (2015)
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Universal Compression of Power-Law Distributions. CoRR (2015)
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh
Faster Algorithms for Testing under Conditional Sampling. COLT (2015)
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapathi, Ananda Theertha Suresh
Faster Algorithms for Testing under Conditional Sampling. CoRR (2015)