research
∙
06/09/2022
Conformal Off-Policy Prediction in Contextual Bandits
Most off-policy evaluation methods for contextual bandits have focused o...
share
research
∙
02/07/2022
Grassmann Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) is a deterministic particle in...
research
∙
09/16/2021
Regularized Training of Nearest Neighbor Language Models
Including memory banks in a natural language processing architecture inc...
research
∙
06/07/2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion
While causal models are becoming one of the mainstays of machine learnin...
research
∙
02/19/2020
Pruning untrained neural networks: Principles and Analysis
Overparameterized neural networks display state-of-the art performance. ...
research
∙
12/05/2019
MetaFun: Meta-Learning with Iterative Functional Updates
Few-shot supervised learning leverages experience from previous learning...
research
∙
06/05/2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
Current meta-learning approaches focus on learning functional representa...
research
∙
02/26/2019
Automated Model Selection with Bayesian Quadrature
We present a novel technique for tailoring Bayesian quadrature (BQ) to m...
research
∙
06/24/2018
A Unified Analysis of Random Fourier Features
We provide the first unified theoretical analysis of supervised learning...
research
∙
11/15/2017