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02/24/2023
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids – PowerTAC
One of the widely used peak reduction methods in smart grids is demand r...
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07/15/2022
Affective Computational Advertising Based on Perceptual Metrics
We present ACAD, an affective computational advertising framework expres...
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06/15/2022
Faster Decomposition of Weighted Graphs into Cliques using Fisher's Inequality
Mining groups of genes that consistently co-express is an important prob...
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04/11/2022
Distributed Hardware Accelerated Secure Joint Computation on the COPA Framework
Performance of distributed data center applications can be improved thro...
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02/25/2022
Individual Fairness in Feature-Based Pricing for Monopoly Markets
We study fairness in the context of feature-based price discrimination i...
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02/08/2022
Budgeted Combinatorial Multi-Armed Bandits
We consider a budgeted combinatorial multi-armed bandit setting where, i...
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12/05/2021
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback
Recommender systems are indispensable because they influence our day-to-...
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11/29/2021
A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration
This work focuses on an efficient Agile design methodology for domain-sp...
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09/13/2021
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System
The observed ratings in most recommender systems are subjected to popula...
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09/02/2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
We revisit the problem of fair clustering, first introduced by Chieriche...
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05/15/2021
Storage Aware Routing for Generalized Delay Tolerant Networks
This paper presents a novel storage aware routing (STAR) protocol design...
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11/03/2020
MAIRE – A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
The paper introduces a novel framework for extracting model-agnostic hum...
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06/24/2020
Provably and Efficiently Approximating Near-cliques using the Turán Shadow: PEANUTS
Clique and near-clique counts are important graph properties with applic...
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03/24/2020
A Pitfall of Learning from User-generated Data: In-depth Analysis of Subjective Class Problem
Research in the supervised learning algorithms field implicitly assumes ...
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02/26/2020
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
For sponsored search auctions, we consider contextual multi-armed bandit...
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01/24/2020
Ballooning Multi-Armed Bandits
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a n...
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01/19/2020
The Power of Pivoting for Exact Clique Counting
Clique counting is a fundamental task in network analysis, and even the ...
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01/27/2019
Fair Division of Indivisible Goods Among Strategic Agents
We study fair division of indivisible goods in a single-parameter enviro...
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10/24/2017
Provable and practical approximations for the degree distribution using sublinear graph samples
The degree distribution is one of the most fundamental properties used i...
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02/12/2016
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing
We study a problem of allocating divisible jobs, arriving online, to wor...
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05/10/2013
