57 citations · 289 across the 59 of their papers we have counts for
69 papers
Synthetic Nearest Neighbors: Extending Synthetic Controls for Matrix Completion with Missing Not at Random Data
Anish Agarwal, Munther Dahleh, Devavrat Shah +1
We develop a causal framework for matrix completion under missing not at random (MNAR) data. Drawing on synthetic controls from the econometric panel data literature, our approach…
Modulated learning for private and distributed regression with just a single sample per client device
Praneeth Vepakomma, Amirhossein Reisizadeh, Samuel Horváth +1
This work focuses on the question of learning from a large number of devices with each device holding only a single sample of data. Several real-world applications exist to this on…
Compositional Online Learning for Multi-Objective System Co-Design
Meshal Alharbi, Munther A. Dahleh, Gioele Zardini
Many engineered systems must balance competing objectives, such as performance and safety, cost and reliability, or efficiency and sustainability, and are naturally modeled as comp…
Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach
Sabri El Amrani, Thibaut Horel, Saurabh Vaishampayan +2
The increasing electrification of human activities and the rapid integration of variable renewable energy sources strain the power grid. A solution to address the need for more gri…
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
Adib Hasan, Mardavij Roozbehani, Munther Dahleh
Accurate crop yield forecasting is essential for global food security. However, current AI models systematically underperform when yields deviate from historical trends. We attribu…
Learning clusters of partially observed linear dynamical systems
Maryann Rui, Munther A. Dahleh
We study the problem of learning clusters of partially observed linear dynamical systems from multiple input-output trajectories. This setting is particularly relevant when there a…