Abhishek Sinha

research

∙ 04/11/2023

: Fair Multi-Armed Bandits with Guaranteed Rewards per Arm

Classic no-regret online prediction algorithms, including variants of th...

0 Abhishek Sinha, et al. ∙

research

∙ 03/11/2023

No-regret Algorithms for Fair Resource Allocation

We consider a fair resource allocation problem in the no-regret setting ...

0 Abhishek Sinha, et al. ∙

research

∙ 09/28/2022

Online Subset Selection using α-Core with no Augmented Regret

We consider the problem of sequential sparse subset selections in an onl...

0 Sourav Sahoo, et al. ∙

research

∙ 08/15/2022

Optimistic No-regret Algorithms for Discrete Caching

We take a systematic look at the problem of storing whole files in a cac...

0 Naram Mhaisen, et al. ∙

research

∙ 05/10/2022

Universal Caching

In the learning literature, the performance of an online policy is commo...

0 Ativ Joshi, et al. ∙

research

∙ 03/31/2022

Joint Power and Subcarrier Allocation in Multi-Cell Multi-Carrier NOMA

Non-orthogonal multiple access (NOMA) is a technology proposed for next ...

0 Subhankar Banerjee, et al. ∙

research

∙ 11/23/2021

Status-quo policy gradient in Multi-Agent Reinforcement Learning

Individual rationality, which involves maximizing expected individual re...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 10/15/2021

k – Online Policies and Fundamental Limits

This paper introduces and studies the k problem – a generalization of th...

5 Samrat Mukhopadhyay, et al. ∙

research

∙ 09/25/2021

Optimizing Age-of-Information in Adversarial Environments with Channel State Information

This paper considers a multi-user downlink scheduling problem with acces...

0 Avijit Mandal, et al. ∙

research

∙ 09/16/2021

Fast and Secure Routing Algorithms for Quantum Key Distribution Networks

This paper considers the problem of secure packet routing at the maximum...

0 Vishnu B, et al. ∙

research

∙ 06/12/2021

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

Conditional generative models of high-dimensional images have many appli...

6 Abhishek Sinha, et al. ∙

research

∙ 02/09/2021

Negative Data Augmentation

Data augmentation is often used to enlarge datasets with synthetic sampl...

16 Abhishek Sinha, et al. ∙

research

∙ 01/18/2021

Online Caching with Optimal Switching Regret

We consider the classical uncoded caching problem from an online learnin...

0 Samrat Mukhopadhyay, et al. ∙

research

∙ 11/10/2020

Optimizing the Age-of-Information for Mobile Users in Adversarial and Stochastic Environments

We study a multi-user downlink scheduling problem for optimizing the fre...

0 Abhishek Sinha, et al. ∙

research

∙ 09/17/2020

Caching in Networks without Regret

We consider the online problem where n users are connected to m caches ...

0 Debjit Paria, et al. ∙

research

∙ 05/12/2020

Competitive Algorithms for Minimizing the Maximum Age-of-Information

In this short paper, we consider the problem of designing a near-optimal...

0 Rajarshi Bhattacharjee, et al. ∙

research

∙ 05/04/2020

On the Benefits of Models with Perceptually-Aligned Gradients

Adversarial robust models have been shown to learn more robust and inter...

5 Gunjan Aggarwal, et al. ∙

research

∙ 03/31/2020

Fundamental Limits of Online Network-Caching

Optimal caching of files in a content distribution network (CDN) is a pr...

0 Rajarshi Bhattacharjee, et al. ∙

research

∙ 01/15/2020

Fundamental Limits of Age-of-Information in Stationary and Non-stationary Environments

We study the multi-user scheduling problem for minimizing the Age of Inf...

0 Subhankar Banerjee, et al. ∙

research

∙ 01/15/2020

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss

Social dilemma situations bring out the conflict between individual and ...

10 Pinkesh Badjatiya, et al. ∙

research

∙ 01/15/2020

Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss

In social dilemma situations, individual rationality leads to sub-optima...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 12/06/2019

cFineGAN: Unsupervised multi-conditional fine-grained image generation

We propose an unsupervised multi-conditional image generation pipeline: ...

48 Gunjan Aggarwal, et al. ∙

research

∙ 12/01/2019

A Method for Computing Class-wise Universal Adversarial Perturbations

We present an algorithm for computing class-specific universal adversari...

0 Tejus Gupta, et al. ∙

research

∙ 11/29/2019

On the Benefits of Attributional Robustness

Interpretability is an emerging area of research in trustworthy machine ...

11 Mayank Singh, et al. ∙

research

∙ 10/26/2019

Intrusion Detection using Sequential Hybrid Model

A large amount of work has been done on the KDD 99 dataset, most of whic...

0 Aditya Pandey, et al. ∙

research

∙ 07/28/2019

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Few-shot learning algorithms aim to learn model parameters capable of ad...

0 Puneet Mangla, et al. ∙

research

∙ 05/13/2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

Neural networks are vulnerable to adversarial attacks -- small visually ...

0 Abhishek Sinha, et al. ∙

research

∙ 04/01/2019

On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels

Age-of-Information (AoI) is a recently proposed metric for quantifying t...

0 Arunabh Srivastava, et al. ∙

research

∙ 03/27/2019

Scheduling Algorithms for 5G Networks with Mid-haul Capacity Constraints

We consider a virtualized RAN architecture for 5G networks where the Rem...

0 Abhishek Sinha, et al. ∙

research

∙ 05/26/2018

Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows

Distributed computing networks, tasked with both packet transmission and...

0 Jianan Zhang, et al. ∙

research

∙ 04/23/2018

Attention Based Natural Language Grounding by Navigating Virtual Environment

In this work, we focus on the problem of grounding language by training ...

0 Abhishek Sinha, et al. ∙

research

∙ 01/05/2018

Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks

We consider a wireless broadcast network with a base station sending tim...

0 Igor Kadota, et al. ∙

research

∙ 01/03/2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space

Recently, Neural networks have seen a huge surge in its adoption due to ...

0 Mayank Singh, et al. ∙

research

∙ 11/08/2017

Intelligent Fault Analysis in Electrical Power Grids

Power grids are one of the most important components of infrastructure i...

0 Biswarup Bhattacharya, et al. ∙

research

∙ 11/08/2017

Deep Fault Analysis and Subset Selection in Solar Power Grids

Non-availability of reliable and sustainable electric power is a major p...

0 Biswarup Bhattacharya, et al. ∙

research

∙ 09/08/2017

Intelligent Subset Selection of Power Generators for Economic Dispatch

Sustainable and economical generation of electrical power is an essentia...

0 Biswarup Bhattacharya, et al. ∙

Abhishek Sinha

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