Antti Hyttinen
15 papers · 2012–2022 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (10)
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Academic Marathon
(10)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(55)
π
Trend Setter
π
Century Club
(15)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
PGM (5)
NIPS (3)
IJCAI (2)
JMLR (2)
UAI (2)
AAAI (1)
Top co-authors
Keywords
causal discovery
(9)
graphical model
(4)
bayesian network
(4)
structure learning
(4)
causal structure
(3)
bayesian inference
(2)
causal inference
(2)
context-specific independence
(2)
exact search
(2)
constraint-based learning
(2)
causal effect
(2)
directed acyclic graph
(2)
maximum satisfiability
(2)
combinatorial optimization
(2)
branch and bound
(1)
time series
(1)
posterior distribution
(1)
markov chain monte carlo
(1)
graph learning
(1)
energy efficiency
(1)
Papers
Binary independent component analysis: a non-stationarity-based approach
UAI 2022
A Hardware Perspective to Evaluating Probabilistic Circuits
PGM 2022
Maximal ancestral graph structure learning via exact search
UAI 2021
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Towards Scalable Bayesian Learning of Causal DAGs
NIPS 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data
PGM 2020
Identifying Causal Effects via Context-specific Independence Relations
NIPS 2019
Structure Learning for Bayesian Networks over Labeled DAGs
PGM 2018
Reduced Cost Fixing for Maximum Satisfiability
IJCAI 2018
Learning Optimal Causal Graphs with Exact Search
PGM 2018
Learning Chordal Markov Networks via Branch and Bound
NIPS 2017
A Core-Guided Approach to Learning Optimal Causal Graphs
IJCAI 2017
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
PGM 2016
Experiment Selection for Causal Discovery
JMLR 2013
Learning Linear Cyclic Causal Models with Latent Variables
JMLR 2012