research
∙
07/05/2023
Federated Epidemic Surveillance
The surveillance of a pandemic is a challenging task, especially when cr...
share
research
∙
06/29/2023
Computationally Assisted Quality Control for Public Health Data Streams
Irregularities in public health data streams (like COVID-19 Cases) hampe...
research
∙
06/05/2023
Inference under constrained distribution shifts
Large-scale administrative or observational datasets are increasingly us...
research
∙
05/27/2023
Auditing Fairness by Betting
We provide practical, efficient, and nonparametric methods for auditing ...
research
∙
03/29/2023
Ideal Abstractions for Decision-Focused Learning
We present a methodology for formulating simplifying abstractions in mac...
research
∙
02/06/2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
We consider the task of evaluating policies of algorithmic resource allo...
research
∙
07/07/2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
There is significant interest in learning and optimizing a complex syste...
research
∙
09/12/2020
Tracking disease outbreaks from sparse data with Bayesian inference
The COVID-19 pandemic provides new motivation for a classic problem in e...
research
∙
07/11/2020
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness
Each year, there are nearly 4 million youth experiencing homelessness (Y...
research
∙
06/18/2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Solving optimization problems with unknown parameters often requires lea...
research
∙
06/04/2020
Fuzzy c-Means Clustering for Persistence Diagrams
Persistence diagrams, a key tool in the field of Topological Data Analys...
research
∙
05/01/2020
Learning to Complement Humans
A rising vision for AI in the open world centers on the development of s...
research
∙
07/12/2019
MIPaaL: Mixed Integer Program as a Layer
Machine learning components commonly appear in larger decision-making pi...
research
∙
05/31/2019
End to end learning and optimization on graphs
Real-world applications often combine learning and optimization problems...
research
∙
05/29/2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Integrating logical reasoning within deep learning architectures has bee...
research
∙
03/03/2019
Group-Fairness in Influence Maximization
Influence maximization is a widely used model for information disseminat...
research
∙
03/03/2019
Decision-Focused Learning of Adversary Behavior in Security Games
Stackelberg security games are a critical tool for maximizing the utilit...
research
∙
02/05/2019
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data
Digital Adherence Technologies (DATs) are an increasingly popular method...
research
∙
09/14/2018
Defending Elections Against Malicious Spread of Misinformation
The integrity of democratic elections depends on voters' access to accur...
research
∙
09/14/2018
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Creating impact in real-world settings requires artificial intelligence ...
research
∙
03/14/2018
Algorithmic Social Intervention
Social and behavioral interventions are a critical tool for governments ...
research
∙
02/14/2018
Distributionally Robust Submodular Maximization
Submodular functions have applications throughout machine learning, but ...
research
∙
11/23/2017
Controlling Elections through Social Influence
Election control considers the problem of an adversary who attempts to t...
research
∙
10/03/2017
Equilibrium Computation and Robust Optimization in Zero Sum Games with Submodular Structure
We define a class of zero-sum games with combinatorial structure, where ...
research
∙
10/01/2017
