research
∙
08/27/2023
Distributional Off-Policy Evaluation for Slate Recommendations
Recommendation strategies are typically evaluated by using previously lo...
share
research
∙
01/25/2023
Learning Gradients of Convex Functions with Monotone Gradient Networks
While much effort has been devoted to deriving and studying effective co...
research
∙
05/15/2022
High-Resolution CMB Lensing Reconstruction with Deep Learning
Next-generation cosmic microwave background (CMB) surveys are expected t...
research
∙
02/18/2021
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks
Unsupervised time series clustering is a challenging problem with divers...
research
∙
06/24/2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
We propose a simple, practical, and intuitive approach for domain adapta...
research
∙
11/06/2019