141 citations · 222 across the 20 of their papers we have counts for
26 papers
An Exact Pointwise Characterization for Total Variation Denoising in Quantile Regression
Deep Ghoshal, Sabyasachi Chatterjee
Total variation denoising (TVD) is a classical method for denoising and curve fitting, yet an explicit pointwise description of its fitted values has only recently been established…
Central Limit Theorem for Gram-Schmidt Random Walk Design
Sabyasachi Chatterjee, Partha S. Dey, Subhajit Goswami
We prove a central limit theorem for the Horvitz-Thompson estimator based on the Gram-Schmidt Walk (GSW) design, recently developed in Harshaw et al.(2022). In particular, we consi…
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Sabyasachi Chatterjee, Subhajit Goswami
We consider the problem of estimating piecewise regular functions in an online setting, i.e., the data arrive sequentially and at any round our task is to predict the value of the…
Element-wise Estimation Error of Generalized Fused Lasso
Teng Zhang, Sabyasachi Chatterjee
The main result of this article is that we obtain an elementwise error bound for the Fused Lasso estimator for any general convex loss function . We then focus on the special ca…
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond
Anamitra Chaudhuri, Sabyasachi Chatterjee
This paper formulates a general cross validation framework for signal denoising. The general framework is then applied to nonparametric regression methods such as Trend Filtering a…
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
Sabyasachi Chatterjee, Subhabrata Sen
In this paper we initiate a study of non parametric contextual bandits under shape constraints on the mean reward function. Specifically, we study a setting where the context is on…