3 citations · 15 across the 16 of their papers we have counts for
17 papers
Optimally Auditing Adversarial Agents
Sanmay Das, Fang-Yi Yu, Yuang Zhang
Fraud can pose a challenge in many resource allocation domains, including social service delivery and credit provision. For example, agents may misreport private information in ord…
Adversarial Data Modeling in Epidemiology
Yiqi Su, Christo Kurisummoottil Thomas, Walid Saad +3
Epidemiological models increasingly rely on crowdsourced, self-reported behavioral data such as vaccination status, mask usage, and social distancing adherence. This data, however,…
Converging to Stability in Two-Sided Bandits: The Case of Unknown Preferences on Both Sides of a Matching Market
Gaurab Pokharel, Sanmay Das
We study the problem of repeated two-sided matching with uncertain preferences (two-sided bandits), and no explicit communication between agents. Recent work has developed algorith…
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources
Angeela Acharya, Siddhartha Sikdar, Sanmay Das +1
Individual-level data (microdata) that characterizes a population, is essential for studying many real-world problems. However, acquiring such data is not straightforward due to co…
Trade-offs between Group Fairness Metrics in Societal Resource Allocation
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala +2
We consider social resource allocations that deliver an array of scarce supports to a diverse population. Such allocations pervade social service delivery, such as provision of hom…
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell, Sanmay Das, Yang Liu +1
The use of algorithmic decision making systems in domains which impact the financial, social, and political well-being of people has created a demand for these decision making syst…
Local Justice and the Algorithmic Allocation of Societal Resources
Sanmay Das
AI is increasingly used to aid decision-making about the allocation of scarce societal resources, for example housing for homeless people, organs for transplantation, and food dona…
Incentivizing Truthfulness Through Audits in Strategic Classification
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
In many societal resource allocation domains, machine learning methods are increasingly used to either score or rank agents in order to decide which ones should receive either reso…
Election Control by Manipulating Issue Significance
Andrew Estornell, Sanmay Das, Edith Elkind +1
Integrity of elections is vital to democratic systems, but it is frequently threatened by malicious actors. The study of algorithmic complexity of the problem of manipulating elect…
Deception through Half-Truths
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
Deception is a fundamental issue across a diverse array of settings, from cybersecurity, where decoys (e.g., honeypots) are an important tool, to politics that can feature politica…
How to show a probabilistic model is better
Mithun Chakraborty, Sanmay Das, Allen Lavoie
We present a simple theoretical framework, and corresponding practical procedures, for comparing probabilistic models on real data in a traditional machine learning setting. This f…
On Manipulation in Prediction Markets When Participants Influence Outcomes Directly
Mithun Chakraborty, Sanmay Das
Prediction markets are often used as mechanisms to aggregate information about a future event, for example, whether a candidate will win an election. The event is typically assumed…
Home Is Where the Up-Votes Are: Behavior Changes in Response to Feedback in Social Media
Sanmay Das, Allen Lavoie
Recent research shows that humans are heavily influenced by online social interactions: We are more likely to perform actions which, in the past, have led to positive social feedba…
Near-Optimal Target Learning With Stochastic Binary Signals
Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail
We study learning in a noisy bisection model: specifically, Bayesian algorithms to learn a target value V given access only to noisy realizations of whether V is less than or great…
Pushing Your Point of View: Behavioral Measures of Manipulation in Wikipedia
Sanmay Das, Allen Lavoie, Malik Magdon-Ismail
As a major source for information on virtually any topic, Wikipedia serves an important role in public dissemination and consumption of knowledge. As a result, it presents tremendo…
Comparing Prediction Market Structures, With an Application to Market Making
Aseem Brahma, Sanmay Das, Malik Magdon-Ismail
Ensuring sufficient liquidity is one of the key challenges for designers of prediction markets. Various market making algorithms have been proposed in the literature and deployed i…
A Hybrid Model for Disease Spread and an Application to the SARS Pandemic
Teruhiko Yoneyama, Sanmay Das, Mukkai Krishnamoorthy
Pandemics can cause immense disruption and damage to communities and societies. Thus far, modeling of pandemics has focused on either large-scale difference equation models like th…