Puolamäki, Kai

19 publications

AISTATS 2024 Error Bounds for Any Regression Model Using Gaussian Processes with Gradient Information Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki

ECML-PKDD 2024 Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite

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

MLJ 2023 SLISEMAP: Supervised Dimensionality Reduction Through Local Explanations Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

ECML-PKDD 2023 Χiplot: Web-First Visualisation Platform for Multidimensional Data Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

ECML-PKDD 2022 SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

JMLR 2021 Guided Visual Exploration of Relations in Data Sets Kai Puolamäki, Emilia Oikarinen, Andreas Henelius

ECML-PKDD 2016 A Tool for Subjective and Interactive Visual Data Exploration Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie

ECML-PKDD 2016 Interactive Visual Data Exploration with Subjective Feedback Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie

ECML-PKDD 2016 Semigeometric Tiling of Event Sequences Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki

ECML-PKDD 2013 Explaining Interval Sequences by Randomization Andreas Henelius, Jussi Korpela, Kai Puolamäki

ECML-PKDD 2012 Size Matters: Finding the Most Informative Set of Window Lengths Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki

ECML-PKDD 2011 Analyzing Word Frequencies in Large Text Corpora Using Inter-Arrival Times and Bootstrapping Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila

MLJ 2009 Latent Grouping Models for User Preference Prediction Eerika Savia, Kai Puolamäki, Samuel Kaski

ICML 2008 Learning to Learn Implicit Queries from Gaze Patterns Kai Puolamäki, Antti Ajanki, Samuel Kaski

AISTATS 2007 Information Retrieval by Inferring Implicit Queries from Eye Movements David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski

ICML 2005 Expectation Maximization Algorithms for Conditional Likelihoods Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

ECML-PKDD 2005 On Discriminative Joint Density Modeling Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

UAI 2005 Two-Way Latent Grouping Model for User Preference Prediction Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski