16 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
Computational Explorations of Total Variation Distance
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel +3
We investigate some previously unexplored (or underexplored) computational aspects of total variation (TV) distance. First, we give a simple deterministic polynomial-time algorithm…
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
Philips George John, Arnab Bhattacharyya, Silviu Maniu +2
Reinforcement learning algorithms are usually stated without theoretical guarantees regarding their performance. Recently, Jin, Yang, Wang, and Jordan (COLT 2020) showed a polynomi…
Learnability of Parameter-Bounded Bayes Nets
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen +1
Bayes nets are extensively used in practice to efficiently represent joint probability distributions over a set of random variables and capture dependency relations. In a seminal p…
Total Variation Distance for Product Distributions is -Complete
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel +3
We show that computing the total variation distance between two product distributions is -complete. This is in stark contrast with other distance measures such as Kul…