Today, technological advancement is increasing day by day. Earlier, ther...
This work presents a novel label-efficient selfsupervised representation...
This work presents a novel domain adaption paradigm for studying contras...
Unconstrained Asian roads often involve poor infrastructure, affecting
o...
In this paper, we study the MNL-Bandit problem in a non-stationary
envir...
We show how to take a regression function f̂ that is appropriately
“mult...
We give a simple, generic conformal prediction method for sequential
pre...
In this paper we prove the efficacy of a simple greedy algorithm for a f...
We consider the problem of controlling a Linear Quadratic Regulator (LQR...
Data deletion algorithms aim to remove the influence of deleted data poi...
An instance of the multiperiod binary knapsack problem (MPBKP) is given ...
We present a general, efficient technique for providing contextual
predi...
Recent advances in computer vision and neural networks have made it poss...
We present Korbit, a large-scale, open-domain, mixed-interface,
dialogue...
We investigate how automated, data-driven, personalized feedback in a
la...
In the classical Online Metric Matching problem, we are given a metric s...
In typical high dimensional statistical inference problems, confidence
i...
Probabilistic graphical models provide a flexible yet parsimonious frame...
Traditional works on community detection from observations of informatio...
We study the problem of recovery of matrices that are simultaneously low...
We consider the problem of estimating the latent structure of a social
n...