b'Nikhil Garg'

research

∙ 07/27/2023

Reconciling the accuracy-diversity trade-off in recommendations

In recommendation settings, there is an apparent trade-off between the g...

0 Kenny Peng, et al. ∙

research

∙ 07/23/2023

Interface Design to Mitigate Inflation in Recommender Systems

Recommendation systems rely on user-provided data to learn about item qu...

0 Rana Shahout, et al. ∙

research

∙ 07/20/2023

Large language models shape and are shaped by society: A survey of arXiv publication patterns

There has been a steep recent increase in the number of large language m...

0 Rajiv Movva, et al. ∙

research

∙ 07/17/2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation

In this white paper, we synthesize key points made during presentations ...

0 Lily Xu, et al. ∙

research

∙ 05/27/2023

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems

Many recommender systems are based on optimizing a linear weighting of d...

0 Smitha Milli, et al. ∙

research

∙ 04/18/2023

Coarse race data conceals disparities in clinical risk score performance

Healthcare data in the United States often records only a patient's coar...

0 Rajiv Movva, et al. ∙

research

∙ 07/10/2022

Parametric Empirical Bayes for Predicting Quality in Rating Systems

User-solicited ratings systems in online marketplaces suffer from a cold...

0 Thomas Ma, et al. ∙

research

∙ 06/27/2022

Supply-Side Equilibria in Recommender Systems

Digital recommender systems such as Spotify and Netflix affect not only ...

0 Meena Jagadeesan, et al. ∙

research

∙ 05/15/2022

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis

Algorithms provide powerful tools for detecting and dissecting human bia...

9 J. D. Zamfirescu-Pereira, et al. ∙

research

∙ 04/19/2022

Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data

Modern city governance relies heavily on crowdsourcing (or "co-productio...

0 Zhi Liu, et al. ∙

research

∙ 03/21/2022

Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

This study proposes voltage-dependent-synaptic plasticity (VDSP), a nove...

0 Nikhil Garg, et al. ∙

research

∙ 01/29/2022

Fair ranking: a critical review, challenges, and future directions

Ranking, recommendation, and retrieval systems are widely used in online...

1 Gourab K Patro, et al. ∙

research

∙ 09/22/2021

Alzheimers Dementia Detection using Acoustic Linguistic features and Pre-Trained BERT

Alzheimers disease is a fatal progressive brain disorder that worsens wi...

0 Akshay Valsaraj, et al. ∙

research

∙ 09/16/2021

Strategic Ranking

Strategic classification studies the design of a classifier robust to th...

0 Lydia T. Liu, et al. ∙

research

∙ 07/19/2021

Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps

Due to the Covid-19 pandemic, more than 500 US-based colleges and univer...

0 Zhi Liu, et al. ∙

research

∙ 07/15/2021

Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts

Every representative democracy must specify a mechanism under which vote...

0 Nikhil Garg, et al. ∙

research

∙ 06/23/2021

The Stereotyping Problem in Collaboratively Filtered Recommender Systems

Recommender systems – and especially matrix factorization-based collabor...

8 Wenshuo Guo, et al. ∙

research

∙ 06/10/2021

Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks

This work proposes a hybrid Brain Computer Interface system for the auto...

0 Lizy Kanungo, et al. ∙

research

∙ 10/09/2020

Standardized Tests and Affirmative Action: The Role of Bias and Variance

The University of California recently suspended through 2024 the require...

0 Nikhil Garg, et al. ∙

research

∙ 11/07/2019

Fair Allocation through Selective Information Acquisition

Public and private institutions must often allocate scare resources unde...

0 William Cai, et al. ∙

research

∙ 06/19/2019

Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates

Elections and opinion polls often have many candidates, with the aim to ...

0 Nikhil Garg, et al. ∙

research

∙ 05/18/2019

Driver Surge Pricing

Uber and Lyft ride-hailing marketplaces use dynamic pricing, often calle...

0 Nikhil Garg, et al. ∙

research

∙ 04/02/2019

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

We provide an NLP framework to uncover four linguistic dimensions of pol...

0 Dorottya Demszky, et al. ∙

research

∙ 10/30/2018

Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments

Platforms critically rely on rating systems to learn the quality of mark...

0 Nikhil Garg, et al. ∙

research

∙ 07/27/2018

Markets for Public Decision-making

A public decision-making problem consists of a set of issues, each with ...

0 Nikhil Garg, et al. ∙

research

∙ 06/18/2018

Designing Optimal Binary Rating Systems

Modern online platforms rely on effective rating systems to learn about ...

0 Nikhil Garg, et al. ∙

research

∙ 11/22/2017

Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes

Word embeddings use vectors to represent words such that the geometry be...

0 Nikhil Garg, et al. ∙

research

∙ 02/26/2017

Iterative Local Voting for Collective Decision-making in Continuous Spaces

Many societal decision problems lie in high-dimensional continuous space...

0 Nikhil Garg, et al. ∙

research

∙ 03/04/2016

A Bayesian Model of Multilingual Unsupervised Semantic Role Induction

We propose a Bayesian model of unsupervised semantic role induction in m...

0 Nikhil Garg, et al. ∙

Nikhil Garg

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