17 citations · 30 across the 23 of their papers we have counts for
5 papers · 1 filter
Executing Causal Structure Learning with Linear-Attention Transformers
Amartya Roy, Sayar Karmakar
Transformers can execute algorithms on data given in their input. We ask whether they can do the same for causal discovery. We study a standard continuous method that repeatedly up…
A Characterization of the -tests Under Nearly Integrated Nearly White Noise
Aidan Wardak, Sayar Karmakar
We derive the limiting distributions of the -test family of unit root statistics in the nearly integrated nearly white noise (NINW) framework introduced by Nabeya and Perron (19…
Joint Estimation in Potts Model
Somabha Mukherjee, Sumit Mukherjee, Sayar Karmakar
In this paper, we study estimation of parameters in a two-parameter Potts model with colors and coupling matrix . We characterize concrete sufficient conditions for existe…
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
Subhrajyoty Roy, Soudeep Deb, Sayar Karmakar +1
In spatio-temporal analysis, we often record data at specific time intervals but with varying spatial locations between these timepoints. We propose a conditional model to analyze…
Fast localization of anomalous patches in spatial data under dependence
Soham Bonnerjee, Sayar Karmakar, George Michailidis
We propose a scalable, provably accurate method for localizing an unknown number of multiple axis-aligned anomalous patches in spatial data under a general class of spatial depende…