7 papers
Personalized Federated X -armed Bandit
Wenjie Li, Qifan Song, Jean Honorio
In this work, we study the personalized federated -armed bandit problem, where the heterogeneous local objectives of the clients are optimized simultaneously in the fe…
Partial Inference in Structured Prediction
Chuyang Ke, Jean Honorio
In this paper, we examine the problem of partial inference in the context of structured prediction. Using a generative model approach, we consider the task of maximizing a score fu…
Matrix Completion from General Deterministic Sampling Patterns
Hanbyul Lee, Rahul Mazumder, Qifan Song +1
Most of the existing works on provable guarantees for low-rank matrix completion algorithms rely on some unrealistic assumptions such that matrix entries are sampled randomly or th…
PyXAB -- A Python Library for -Armed Bandit and Online Blackbox Optimization Algorithms
Wenjie Li, Haoze Li, Jean Honorio +1
We introduce a Python open-source library for -armed bandit and online blackbox optimization named PyXAB. PyXAB contains the implementations for more than 10 $\mathcal…
Support Recovery in Sparse PCA with Non-Random Missing Data
Hanbyul Lee, Qifan Song, Jean Honorio
We analyze a practical algorithm for sparse PCA on incomplete and noisy data under a general non-random sampling scheme. The algorithm is based on a semidefinite relaxation of the…
Meta Learning for High-dimensional Ising Model Selection Using -regularized Logistic Regression
Huiming Xie, Jean Honorio
In this paper, we consider the meta learning problem for estimating the graphs associated with high-dimensional Ising models, using the method of -regularized logistic regr…