Reposted by Motonobu KanagawaPierre Alquier @pierrealquier.bsky.social · 20/03/2026A few months ago, Mathieu Gerber and I uploaded regMMD, a R package for robust regression and estimation through MMD. Today, Hidde Fokkema @hiddefokkema.bsky.social shared a Python version: Link: github.com/HiddeFok/reg... Doc: hiddefok.github.io/reg-mmd-scik... Thanks so much Hidde 🙏🙏github.comGitHub - HiddeFok/reg-mmd-scikit: Scikit Implementation of the regMMD estimation and regression procedureScikit Implementation of the regMMD estimation and regression procedure - HiddeFok/reg-mmd-scikit 1111
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 17/03/2026We have posted a new paper on arXiv. Missing data are often a major challenge in solar power forecasting. In this paper, we propose a method based on multiple imputation to propagate uncertainty from missing values into predictive distributions. 020
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 29/01/2026In June, I will give a lecture on ``Gaussian processes and reproducing kernels'' at the NUMRAD26 summer school held at EPFL. numrad.epfl.ch/scientific-p... This will be an exciting event for math-oriented students interested in numerical methods, statistics, and machine learning.numrad.epfl.chScientific Program – NUMRAD26 150
Reposted by Motonobu KanagawaTamara Broderick @tamarabroderick.bsky.social · 12/12/2025I’m excited that MIT News covered our new paper on confidence intervals for associations in spatial settings! news.mit.edu/2025/new-met...news.mit.eduNew method improves the reliability of statistical estimationsMIT researchers developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, ... 2237
Reposted by Motonobu KanagawaHan Bao @han-b.bsky.social · 29/11/2025Convolutional Fenchel-Young loss paper has been updated slightly, with more examples e.g. classification with rejection (with the great effort of @caoyuzhou.bsky.social ). We're gonna present the spotlight poster at #NeurIPS2025, at 4:30pm-7:30pm on Dec 3. See you all soon😎 162
Reposted by Motonobu KanagawaNico Krämer @pnkraemer.bsky.social · 27/11/2025Really looking forward to Eurips next week! 🇩🇰 😎 Not just because Bella Centre is literally a metro ride from home, but because it's really excellent to see the ML community gathering in Europe! If you're around, say hi! Here's where I'll be 🔽🔽 1115
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 02/12/2025Our paper on missing-value imputation has just been published in Transactions of the Machine Learning Research (TMLR)! Our kNNSampler recovers missing-value distributions with theoretical guarantees, while being as simple as kNNImputer. openreview.net/forum?id=4CD... 040
Reposted by Motonobu KanagawaTamara Broderick @tamarabroderick.bsky.social · 26/11/2025Big thanks to @natematias.bsky.social for this extremely touching and kind post about some of our research! (Amazing co-first authors are my PhD student @renberlinghieri.bsky.social and postdoc David Burt, and awesome collaborators are Paolo Giani and Arlene Fiore.) 073
Reposted by Motonobu KanagawaPhilipp Hennig @philipphennig.bsky.social · 12/09/2025Find out more at probnum2026.github.io The deadline for Submissions will likely be in early March 2026. 041
Reposted by Motonobu KanagawaPhilipp Hennig @philipphennig.bsky.social · 12/09/2025f you're looking for a place to share your ideas on computation and inference, with likeminded, friendly colleagues who give earnest, technically deep feedback, mark your calendars for 9-11 September 2026, because next year, we're going to Finnland, thanks to Toni Karvonen! 161
Reposted by Motonobu KanagawaPhilipp Hennig @philipphennig.bsky.social · 12/09/2025The very first international conference on Probabilistic Numerics is now over. Huge thanks to @motonobu-kanagawa.bsky.social for hosting us at the French Riviera! It was amazing to see so many contributed works across Europe. Proceedings at proceedings.mlr.press/v271/. Read on for what's next! 1153
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 11/09/2025Our new paper on kNNSampler fixes the widely used kNNImputer for missing value imputation, to recover the distribution of unknown missing values. Theoretical convergence guarantees in terms of conditional RKHS embeddings. arxiv.org/abs/2509.08366 070
Reposted by Motonobu Kanagawaarxiv stat.ML @arxiv-stat-ml.bsky.social · 11/09/2025Parastoo Pashmchi, Jerome Benoit, Motonobu Kanagawa kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions arxiv.org/abs/2509.08366 011
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 07/09/2025Accepted papers at ProbNum 2025 have now been published as a volume in Proceedings of Machine Learning Research (PMLR). Thank you to all the authors for their beautiful papers and to the PMLR editor Prof Neil Lawrence @lawrennd.bsky.social for making this possible. proceedings.mlr.press/v271/ 0145
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 04/09/2025ProbNum 2025 Keynote 2 ``Gradient Flows on the Maximum Mean Discrepancy'' by @arthurgretton.bsky.social ( @gatsbyucl.bsky.social and Google DeepMind. Slides available here: probnum25.github.io/keynotes 182
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 29/08/2025Getting very much ready for ProbNum 2025! probnum25.github.io 0111
Reposted by Motonobu KanagawaAgustinus Kristiadi @agustinus.kristia.de · 04/07/2025📣 [Openings] I'm now an Assistant Prof @westernu.ca CS dept. Funded PhD & MSc positions available! Topics: large probabilistic models, decision-making under uncertainty, and apps in AI4Science. More on agustinus.kristia.de/openings/ 1185
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 24/06/2025We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur). arxiv.org/abs/2506.17366arxiv.orgGaussian Processes and Reproducing Kernels: Connections and EquivalencesThis monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilb... 03711
Reposted by Motonobu KanagawaMotonobu Kanagawa @motonobu-kanagawa.bsky.social · 04/06/2025Registration for ProbNum 2025, to be held at EURECOM in southern France from 1st to 3rd September, is now open (deadline: 10th August). A tentative schedule and accepted papers are now online. probnum25.github.ioprobnum25.github.ioProbNum25Coming 043
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 04/06/2025Registration for ProbNum 2025, to be held at EURECOM in southern France from 1st to 3rd September, is now open (deadline: 10th August). A tentative schedule and accepted papers are now online. probnum25.github.ioprobnum25.github.ioProbNum25Coming 043
Reposted by Motonobu Kanagawaantonio vergari ⚔️ short-circuiting @nolovedeeplearning.bsky.social · 22/05/2025Rio is looking forward to seeing all your works on #fast #reliable #tractable #models #circuits #tensor #networks #flows! please share! 068
Reposted by Motonobu KanagawaFrançois-Xavier Briol @fxbriol.bsky.social · 29/04/2025Ever used kernel mean embeddings or MMD? Wished you had a closed-form expression so you wouldn't need to estimate these? See our new paper with Alex Gessner, Toni Karvonen and Maren Mahsereci, which comes with an associated Python package. arxiv.org/abs/2504.18830arxiv.orgA Dictionary of Closed-Form Kernel Mean EmbeddingsKernel mean embeddings -- integrals of a kernel with respect to a probability distribution -- are essential in Bayesian quadrature, but also widely used in other computational tools for numerical inte... 1216
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 24/04/2025"Donkeys and the Morning Sun" by Monet (2025) 020
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 24/04/2025Why does the chain of sadness never end? 270
Reposted by Motonobu KanagawaPietro Michiardi @michiardi.bsky.social · 06/02/2025Happy to share that our paper, "Information Theoretic Text-to-Image Alignment," has been accepted at ICLR 2025! 🚀 Kudos to the team: Chao Wang, the PhD student leading this work, Alessandro Finamore, Max Gallo, and Giulio Franzese. arxiv.org/abs/2405.20759arxiv.orgInformation Theoretic Text-to-Image AlignmentDiffusion models for Text-to-Image (T2I) conditional generation have recently achieved tremendous success. Yet, aligning these models with user's intentions still involves a laborious trial-and-error ... 031
Reposted by Motonobu KanagawaRaphaël Troncy @rtroncy.bsky.social · 22/04/2025📢A unique fully funded three-years PhD position is open at POLITO and EURECOM. Title: Enhancing Educational Storytelling with Human-Centered AI in the LLM Era Application deadline: April 28, 2025 Details: www.linkedin.com/feed/update/... 024
Reposted by Motonobu KanagawaSam Power @spmontecarlo.bsky.social · 05/03/2025JOB OPENING at University of Bristol: -- Lecturer in Statistics or Machine Learning -- (x 2 positions available) -- application deadline: 31 March, 2025 Details at www.bristol.ac.uk/jobs/find/de... Come join us! 12917
Reposted by Motonobu KanagawaPierre Alquier @pierrealquier.bsky.social · 05/03/2025I already advertised for this document when I posted it on arXiv, and later when it was published. This week, with the agreement of the publisher, I uploaded the published version on arXiv. Less typos, more references and additional sections including PAC-Bayes Bernstein. arxiv.org/abs/2110.11216 110821
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 18/02/2025There is a trace of someone's sadness. 060
Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 16/02/2025Write a paper on Probabilistic Numerics and come to French Riviera! 050
Reposted by Motonobu KanagawaPhilipp Hennig @philipphennig.bsky.social · 12/02/2025Just under a month to the deadline, the first submissions are beginning to arrive. Looking to share your work on Bayesian Quadrature, ODE-Filters, GP-PDE-solvers, computation-aware deep learning, linear algebra, and beyond, with an audience that cares? Consider submitting your work! 082
