Topi Talvitie
7 papers · 2017–2020 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer
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Research topics
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Machine Learning
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Mathematics
(4)
Optimization
(4)
Core Methods
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Reasoning
(2)
Computer Science
(1)
Core AI
(1)
Foundations
(1)
Learning Types
(1)
Keywords
directed acyclic graph
(3)
causal effect
(2)
partial order
(2)
linear extension
(2)
bayesian network structure learning
(2)
structure learning
(2)
graph sampling
(2)
graphical model
(2)
markov chain monte carlo
(2)
markov chain
(1)
linear regression
(1)
approximate counting
(1)
exact algorithm
(1)
mixing time
(1)
bayesian network
(1)
decision tree
(1)
conditional independence test
(1)
local structure
(1)
markov equivalence
(1)
exact sampling
(1)
Papers
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Learning Bayesian Networks with Cops and Robbers
PGM 2020
Counting and Sampling Markov Equivalent Directed Acyclic Graphs
AAAI 2019
Exact Sampling of Directed Acyclic Graphs from Modular Distributions
UAI 2019
A Scalable Scheme for Counting Linear Extensions
IJCAI 2018
Finding Optimal Bayesian Networks with Local Structure
PGM 2018
The Mixing of Markov Chains on Linear Extensions in Practice
IJCAI 2017