research
∙
08/20/2023
Wasserstein Geodesic Generator for Conditional Distributions
Generating samples given a specific label requires estimating conditiona...
share
research
∙
03/13/2023
Bandit-supported care planning for older people with complex health and care needs
Long-term care service for old people is in great demand in most of the ...
research
∙
09/15/2022
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
We propose a novel contextual bandit algorithm for generalized linear re...
research
∙
06/11/2022
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
We propose a novel algorithm for linear contextual bandits with O(√(dT l...
research
∙
05/17/2022
Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization
Non-stationarity is ubiquitous in human behavior and addressing it in th...
research
∙
02/01/2021
Doubly Robust Thompson Sampling for linear payoffs
A challenging aspect of the bandit problem is that a stochastic reward i...
research
∙
12/04/2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
The Mixup method (Zhang et al. 2018), which uses linearly interpolated d...
research
∙
06/05/2020
Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations
Wasserstein distributionally robust optimization (WDRO) attempts to lear...
research
∙
07/26/2019
Doubly-Robust Lasso Bandit
Contextual multi-armed bandit algorithms are widely used in sequential d...
research
∙
01/31/2019
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Contextual multi-armed bandit (MAB) algorithms have been shown promising...
research
∙
01/28/2019
