Arto Klami
29 papers · 2012–2026 · 13 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (49) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(12)
🏆
Grand Slam
💎
Century Club · Bronze
📈
Trend Setter
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(154)
🔥
Unstoppable · Silver
Venues
Top co-authors
Research topics
Machine Learning
(26)
Optimization & Theory
(16)
Artificial Intelligence
(15)
Bayesian & Probabilistic · Machine Learning
(13)
Bayesian & Probabilistic · Artificial Intelligence
(11)
Core Methods
(9)
Learning Types
(7)
Deep Learning
(6)
Mathematics & Optimization
(6)
Optimization
(5)
Core AI
(4)
Mathematics
(4)
Models
(4)
Computer Science
(2)
Application Areas
(2)
Keywords
bayesian inference
(8)
variational inference
(6)
gaussian process
(4)
posterior approximation
(3)
markov chain monte carlo
(3)
sampling algorithm
(2)
gibbs sampling
(2)
convolutional neural network
(2)
prior predictive distribution
(2)
prior elicitation
(2)
riemannian metric
(2)
transfer learning
(1)
statistical inference
(1)
anomaly detection
(1)
uncertainty modeling
(1)
reward modeling
(1)
stochastic optimization
(1)
black-box optimization
(1)
decision theory
(1)
non-convex optimization
(1)
Papers
Maximally Robust Satisficing Bayesian Optimization
UAI 2026
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
UAI 2026
Density Ratio Estimation with Conditional Probability Paths
ICML 2025
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
UAI 2025
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
ICLR 2025
Geometric No-U-Turn Samplers: Concepts and Evaluation
PGM 2024
Non-geodesically-convex optimization in the Wasserstein space
NeurIPS 2024
Preferential Normalizing Flows
NeurIPS 2024
Riemannian Laplace Approximation with the Fisher Metric
AISTATS 2024
Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection
ICML 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy
ACML 2023
Lagrangian manifold Monte Carlo on Monge patches
AISTATS 2022
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
L4DC 2022
Modeling Risky Choices in Unknown Environments
ACML 2021
Uplift Modeling with High Class Imbalance
ACML 2021
Correcting Predictions for Approximate Bayesian Inference
AAAI 2020
Flexible Prior Elicitation via the Prior Predictive Distribution
UAI 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations
UAI 2020
Low-Rank Approximations of Second-Order Document Representations
CoNLL 2019
Variational Bayesian Decision-making for Continuous Utilities
NeurIPS 2019
Benchmarks and models for entity-oriented polarity detection
NAACL 2018
HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks
SemEval 2017
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources
ACML 2017
Latent feature regression for multivariate count data
AISTATS 2015
Polya-gamma augmentations for factor models
ACML 2014
Bayesian Canonical Correlation Analysis
JMLR 2013
Bayesian Group Factor Analysis
AISTATS 2012
Variational Bayesian Matching
ACML 2012