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Yangyi Lu

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML4

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedCausal Markov Decision Processes: Learning Good Interventions Efficiently

6 citations · 12 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2021★ 6 cited

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…

stat.ML2021★ 6 cited

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…

stat.ML2020

Low-Rank Generalized Linear Bandit Problems

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

In a low-rank linear bandit problem, the reward of an action (represented by a matrix of size d1​×d2​) is the inner product between the action and an unknown low-rank matr…

stat.ML2019

Regret Analysis of Bandit Problems with Causal Background Knowledge

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari +1

We study how to learn optimal interventions sequentially given causal information represented as a causal graph along with associated conditional distributions. Causal modeling is…

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