980 citations · 2k across the 73 of their papers we have counts for
82 papers
Advancing AI Challenges for the United States Department of the Air Force
Christian Prothmann, Vijay Gadepally, Jeremy Kepner +35
The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers…
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
J. Jon Ryu, Abhin Shah, Gregory W. Wornell
This paper studies a family of estimators based on noise-contrastive estimation (NCE) for learning unnormalized distributions. The main contribution of this work is to provide a un…
Gambling-Based Confidence Sequences for Bounded Random Vectors
J. Jon Ryu, Gregory W. Wornell
A confidence sequence (CS) is a sequence of confidence sets that contains a target parameter of an underlying stochastic process at any time step with high probability. This paper…
Operator SVD with Neural Networks via Nested Low-Rank Approximation
J. Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol +3
Computing eigenvalue decomposition (EVD) of a given linear operator, or finding its leading eigenvalues and eigenfunctions, is a fundamental task in many machine learning and scien…
On Computationally Efficient Learning of Exponential Family Distributions
Abhin Shah, Devavrat Shah, Gregory W. Wornell
We consider the classical problem of learning, with arbitrary accuracy, the natural parameters of a -parameter truncated \textit{minimal} exponential family from i.i.d. samples…
Online Segmented Recursive Least-Squares for Multipath Doppler Tracking
Jae Won Choi, Girish Chowdhary, Andrew C. Singer +4
Underwater communication signals typically suffer from distortion due to motion-induced Doppler. Especially in shallow water environments, recovering the signal is challenging due…