Varun Gupta | DeepAI

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Michael Kearns
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∙ 05/28/2023

IoT based Personal Voice Assistant

Today, technological advancement is increasing day by day. Earlier, ther...

0 Sumit Kumar, et al. ∙

∙ 04/20/2023

Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images

This work presents a novel label-efficient selfsupervised representation...

0 Ekta Gupta, et al. ∙

∙ 04/19/2023

Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery

This work presents a novel domain adaption paradigm for studying contras...

0 Muskaan Chopra, et al. ∙

∙ 03/05/2023

CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads

Unconstrained Asian roads often involve poor infrastructure, affecting o...

0 Varun Gupta, et al. ∙

∙ 03/04/2023

MNL-Bandit in non-stationary environments

In this paper, we study the MNL-Bandit problem in a non-stationary envir...

0 Ayoub Foussoul, et al. ∙

∙ 09/15/2022

Multicalibrated Regression for Downstream Fairness

We show how to take a regression function f̂ that is appropriately “mult...

6 Ira Globus-Harris, et al. ∙

∙ 06/02/2022

Practical Adversarial Multivalid Conformal Prediction

We give a simple, generic conformal prediction method for sequential pre...

11 Osbert Bastani, et al. ∙

∙ 12/08/2021

Greedy Algorithm for Multiway Matching with Bounded Regret

In this paper we prove the efficacy of a simple greedy algorithm for a f...

0 Varun Gupta, et al. ∙

∙ 11/06/2021

Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems

We consider the problem of controlling a Linear Quadratic Regulator (LQR...

9 Yuwei Luo, et al. ∙

∙ 06/08/2021

Adaptive Machine Unlearning

Data deletion algorithms aim to remove the influence of deleted data poi...

47 Varun Gupta, et al. ∙

∙ 03/31/2021

Approximation Schemes for Multiperiod Binary Knapsack Problems

An instance of the multiperiod binary knapsack problem (MPBKP) is given ...

0 Zuguang Gao, et al. ∙

∙ 01/05/2021

Online Multivalid Learning: Means, Moments, and Prediction Intervals

We present a general, efficient technique for providing contextual predi...

9 Varun Gupta, et al. ∙

∙ 06/01/2020

SiEVE: Semantically Encoded Video Analytics on Edge and Cloud

Recent advances in computer vision and neural networks have made it poss...

0 Tarek Elgamal, et al. ∙

∙ 05/06/2020

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM

We present Korbit, a large-scale, open-domain, mixed-interface, dialogue...

1 Iulian Vlad Serban, et al. ∙

∙ 05/05/2020

Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System

We investigate how automated, data-driven, personalized feedback in a la...

8 Ekaterina Kochmar, et al. ∙

∙ 11/28/2019

PERMUTATION Strikes Back: The Power of Recourse in Online Metric Matching

In the classical Online Metric Matching problem, we are given a metric s...

0 Varun Gupta, et al. ∙

∙ 11/17/2019

Constrained High Dimensional Statistical Inference

In typical high dimensional statistical inference problems, confidence i...

0 Ming Yu, et al. ∙

∙ 05/15/2019

Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching

Probabilistic graphical models provide a flexible yet parsimonious frame...

0 Ming Yu, et al. ∙

∙ 06/14/2018

Learning Influence-Receptivity Network Structure with Guarantee

Traditional works on community detection from observations of informatio...

0 Ming Yu, et al. ∙

∙ 02/20/2018

Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach

We study the problem of recovery of matrices that are simultaneously low...

0 Ming Yu, et al. ∙

∙ 09/06/2017

An Influence-Receptivity Model for Topic based Information Cascades

We consider the problem of estimating the latent structure of a social n...

0 Ming Yu, et al. ∙

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