activity
20162026
most citedGenerative models for sampling and phase transition indication in spin systems

29 citations · 39 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2026

Doeblin Curves

Dongmin Lee, William Lu, Anuran Makur +1

Recent research on Doeblin coefficients has shed light on their usefulness as a multi-way generalization of the Dobrushin contraction coefficient for TV distance, in a separate vei…

cs.LG2026

Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries

Dongmin Lee, Anuran Makur, Japneet Singh

Bradley-Terry-Luce (BTL) model estimation is a well-established strategy to rank a collection of items given a dataset of pairwise comparisons. Although the theoretical performance…

cs.GT2026

Fair Division Under Inaccurate Preferences

Trung Dang, Daniel Halpern, Anuran Makur +3

The fair allocation of scarce resources is a central problem in mathematics, computer science, operations research, and economics. While much of the fair-division literature assume…

cs.IT2025

Bounds on Maximal Leakage over Bayesian Networks

Anuran Makur, Japneet Singh

Maximal leakage quantifies the leakage of information from data due to an observation . While fundamental properties of maximal leakage, such as data process…

cs.LG2025

Hypothesis Testing for Generalized Thurstone Models

Anuran Makur, Japneet Singh

In this work, we develop a hypothesis testing framework to determine whether pairwise comparison data is generated by an underlying \emph{generalized Thurstone model} $\mathcal{T}_…

cs.LG2024★ 2 cited

Minimax Hypothesis Testing for the Bradley-Terry-Luce Model

Anuran Makur, Japneet Singh

The Bradley-Terry-Luce (BTL) model is one of the most widely used models for ranking a collection of items or agents based on pairwise comparisons among them. Given agents, the…

cs.IT2023★ 3 cited

Doeblin Coefficients and Related Measures

Anuran Makur, Japneet Singh

Doeblin coefficients are a classical tool for analyzing the ergodicity and exponential convergence rates of Markov chains. Propelled by recent works on contraction coefficients of…

cond-mat.stat-mech2020★ 29 cited

Generative models for sampling and phase transition indication in spin systems

Japneet Singh, Vipul Arora, Vinay Gupta +1

Recently, generative machine-learning models have gained popularity in physics, driven by the goal of improving the efficiency of Markov chain Monte Carlo techniques and of explori…

astro-ph.GA2016★ 5 cited

Attenuation from the optical to the extreme ultraviolet by dust associated with broad absorption line quasars: the driving force for outflows

C. Martin Gaskell, Jake J. M. Gill, Japneet Singh

We derive a mean attenuation curve out to the rest-frame extreme ultraviolet (EUV) for 'BAL dust' - the dust causing the additional extinction of active galactic nuclei (AGNs) with…