82 citations · 419 across the 63 of their papers we have counts for
4 papers · 1 filter
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub +2
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years. However, learning the model can incur a significant…
Distributed Estimation of Sparse Inverse Covariances
Tong Yao, Shreyas Sundaram
Learning the relationships between various entities from time-series data is essential in many applications. Gaussian graphical models have been studied to infer these relationship…
Near-Optimal Data Source Selection for Bayesian Learning
Lintao Ye, Aritra Mitra, Shreyas Sundaram
We study a fundamental problem in Bayesian learning, where the goal is to select a set of data sources with minimum cost while achieving a certain learning performance based on the…
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan +1
Online learning has become increasingly popular on handling massive data. The sequential nature of online learning, however, requires a centralized learner to store data and update…