160 citations · 1.5k across the 122 of their papers we have counts for
6 papers · 2 filters
Joint Learning of Linear Time-Invariant Dynamical Systems
Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari +1
Linear time-invariant systems are very popular models in system theory and applications. A fundamental problem in system identification that remains rather unaddressed in extant li…
On the Statistical Benefits of Curriculum Learning
Ziping Xu, Ambuj Tewari
Curriculum learning (CL) is a commonly used machine learning training strategy. However, we still lack a clear theoretical understanding of CL's benefits. In this paper, we study t…
Bandit Algorithms for Precision Medicine
Yangyi Lu, Ziping Xu, Ambuj Tewari
The Oxford English Dictionary defines precision medicine as "medical care designed to optimize efficiency or therapeutic benefit for particular groups of patients, especially by us…
Causal Bandits with Unknown Graph Structure
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
In causal bandit problems, the action set consists of interventions on variables of a causal graph. Several researchers have recently studied such bandit problems and pointed out t…
Representation Learning Beyond Linear Prediction Functions
Ziping Xu, Ambuj Tewari
Recent papers on the theory of representation learning has shown the importance of a quantity called diversity when generalizing from a set of source tasks to a target task. Most o…
Causal Markov Decision Processes: Learning Good Interventions Efficiently
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
We introduce causal Markov Decision Processes (C-MDPs), a new formalism for sequential decision making which combines the standard MDP formulation with causal structures over state…