Helge Langseth
10 papers · 2003–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Century Club · Bronze
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Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core AI
(3)
Core Methods
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types
(2)
Optimization
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Keywords
bayesian network
(4)
reinforcement learning
(2)
variational inference
(2)
probabilistic inference
(2)
conjugate exponential model
(2)
em algorithm
(1)
distributed learning
(1)
state abstraction
(1)
expectation maximization
(1)
time series forecasting
(1)
attention mechanism
(1)
deep learning
(1)
distributed computing
(1)
natural gradient
(1)
structural learning
(1)
epistemic uncertainty
(1)
message passing
(1)
simulated annealing
(1)
map inference
(1)
uncertainty quantification
(1)
Papers
Outcome-Based Semifactuals for Reinforcement Learning
ACML 2025
A Divide and Conquer Approach for Solving Structural Causal Models
PGM 2024
ASAP: Attention-Based State Space Abstraction for Policy Summarization
ACML 2023
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
UAI 2020
Forecasting Intra-Hour Imbalances in Electric Power Systems
AAAI 2019
Bayesian Models of Data Streams with Hierarchical Power Priors
ICML 2017
d-VMP: Distributed Variational Message Passing
PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
JMLR 2003