Klami, Arto

41 publications

ICML 2025 Density Ratio Estimation with Conditional Probability Paths Hanlin Yu, Arto Klami, Aapo Hyvarinen, Anna Korba, Omar Chehab

UAI 2025 Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami

TMLR 2025 Single-Positive Multi-Label Learning with Label Cardinality Shayan Gharib, Pierre-Alexandre Murena, Arto Klami

ICLR 2025 Stochastic Variance-Reduced Gaussian Variational Inference on the Bures-Wasserstein Manifold Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami

TMLR 2024 Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations Ville Tanskanen, Chang Rajani, Perttu Hämäläinen, Christian Guckelsberger, Arto Klami

PGM 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation Bernardo Williams, Hanlin Yu, Marcelo Hartmann, Arto Klami

NeurIPS 2024 Non-Geodesically-Convex Optimization in the Wasserstein Space Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami

NeurIPS 2024 Preferential Normalizing Flows Petrus Mikkola, Luigi Acerbi, Arto Klami

AISTATS 2024 Riemannian Laplace Approximation with the Fisher Metric Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami

ICML 2023 Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection Lorenzo Perini, Paul-Christian Bürkner, Arto Klami

JMLR 2023 Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami

TMLR 2023 Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami

ACML 2023 Transformed Gaussian Processes for Characterizing a Model’s Discrepancy Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami

AISTATS 2022 Lagrangian Manifold Monte Carlo on Monge Patches Marcelo Hartmann, Mark Girolami, Arto Klami

L4DC 2022 Traversing Time with Multi-Resolution Gaussian Process State-Space Models Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch

ACML 2021 Modeling Risky Choices in Unknown Environments Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami

ACML 2021 Uplift Modeling with High Class Imbalance Otto Nyberg, Tomasz Kuśmierczyk, Arto Klami

AAAI 2020 Correcting Predictions for Approximate Bayesian Inference Tomasz Kusmierczyk, Joseph Sakaya, Arto Klami

UAI 2020 Flexible Prior Elicitation via the Prior Predictive Distribution Marcelo Hartmann, Georgi Agiashvili, Paul Bürkner, Arto Klami

UAI 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations Krista Longi, Chang Rajani, Tom Sillanpää, Joni Mäkinen, Timo Rauhala, Ari Salmi, Edward Haeggström, Arto Klami

NeurIPS 2019 Variational Bayesian Decision-Making for Continuous Utilities Tomasz Kuśmierczyk, Joseph Sakaya, Arto Klami

ECML-PKDD 2018 Lambert Matrix Factorization Arto Klami, Jarkko Lagus, Joseph Sakaya

AAAI 2018 On Controlling the Size of Clusters in Probabilistic Clustering Aditya Jitta, Arto Klami

UAI 2017 Importance Sampled Stochastic Optimization for Variational Inference Joseph Sakaya, Arto Klami

ACML 2017 Semi-Supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources Krista Longi, Teemu Pulkkinen, Arto Klami

UAI 2016 Probabilistic Size-Constrained Microclustering Arto Klami, Aditya Jitta

AISTATS 2015 Latent Feature Regression for Multivariate Count Data Arto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frédéric Roulland

ICLR 2014 Group-Sparse Embeddings in Collective Matrix Factorization Arto Klami, Guillaume Bouchard, Abhishek Tripathi

ACML 2014 Polya-Gamma Augmentations for Factor Models Arto Klami

JMLR 2013 Bayesian Canonical Correlation Analysis Arto Klami, Seppo Virtanen, Samuel Kaski

MLJ 2013 Bayesian Object Matching Arto Klami

AISTATS 2012 Bayesian Group Factor Analysis Seppo Virtanen, Arto Klami, Suleiman Khan, Samuel Kaski

UAI 2012 Factorized Multi-Modal Topic Model Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell

ECML-PKDD 2012 Unsupervised Inference of Auditory Attention from Biosensors Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski

ACML 2012 Variational Bayesian Matching Arto Klami

ICML 2011 Bayesian CCA via Group Sparsity Seppo Virtanen, Arto Klami, Samuel Kaski

UAI 2010 Bayesian Exponential Family Projections for Coupled Data Sources Arto Klami, Seppo Virtanen, Samuel Kaski

MLJ 2010 Infinite Factorization of Multiple Non-Parametric Views Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski

ECML-PKDD 2010 Variational Bayesian Mixture of Robust CCA Models Jaakko Viinikanoja, Arto Klami, Samuel Kaski

ICCVW 2009 Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn

ICML 2007 Local Dependent Components Arto Klami, Samuel Kaski