#kernelmethods search results
Carlos and I came up with a new class of Emoji kernels. Coming soon to #kernelmethods! Also, perhaps Kardashian double Gaussian kernels too 😀
Yesterday was a day very much circling around notions of quantum-assisted machine learning. After #QTML2021, Sofiene Jerbi from Innsbruck gave a wonderful talk on #quantummachinelearning beyond #kernelmethods in our reading group.
Sklearn custom kernel gives wrong decision function stackoverflow.com/questions/6785… #kernelmethods #svm #scikitlearn #machinelearning #python
Rene Fournier redesigning the #periodictable using #MachineLearning on 6-atom clusters. The first time I really understand #kernelmethods. #iccmse2019
Drop by my poster at D22 to learn more about the #kernelmethods, how you can leverage their power, and how easy it is now to compose and customize advanced techniques with beautiful #python code. #NI2019 Check it out github.com/raamana Scheduled demo tomorrow evening!
You may have noticed #DeepLearning may not always beat the good old logistic regression or SVMs. So if you love #kernelmethods in #MachineLearning, here is a library you may quite enjoy: github.com/raamana/ Updates: drop-in estimator classes, more docs. Contributors welcome!
Work #1 explores #kernel methods for bivariate causal discovery using Conditional Mean Embedding (CME). A parsimony-based method helps infer causal direction by comparing complexity measures of CME sets. 📊 #KernelMethods #CausalDiscovery Great collab with @sejDino
Christopher Ré, @StanfordAILab on 'Theory and systems for weak supervision" - join him and Live Q&A next Tuesday #DeepLearning #kernelmethods @naverlabseurope Open seminar series 📆 Nov 17th 4pm CET Registration: bit.ly/3ksOZV5
📘 Embarking on a challenging machine learning journey has brought me to kernel methods, a topic that tests even seasoned computer scientists. #KernelMethods #MachineLearning #AI #DataScience #Math #Optimization #Python ⬇️
Interested in explaining kernel methods (or GP) with Shapley values? Or in using SVs as attribution priors in ERM? I’ve got you covered! Check out my poster on RKHS-SHAP at Hall J #433 tmrw from 4-6pm CST! nips.cc/virtual/2022/p… #NeurIPS2022 #ExplainableAI #KernelMethods
Kernel Methods in machine learning are a group of algorithms for pattern analysis, applied to clustering, regression, and principal component analysis #KernelMethods
The docs for #kernelmethods library are significantly better now: raamana.github.io/kernelmethods/… with a good demo notebook on @mybinderteam : mybinder.org/v2/gh/raamana/… Feedback and contribs most welcome. #MachineLearning #DeepLearning #AI #DataScience
Trading on Memory: Why Markov Models Miss the Signal cognaptus.com/blog/2025-07-2… #tradingstrategies #kernelmethods #finance #machinelearning #quantitativefinance #RKHS #signaturekernels #mean-varianceoptimization
cognaptus.com
Trading on Memory: Why Markov Models Miss the Signal
A new kernel-based framework shows how embedding path-dependence directly into trading strategies beats classic mean-variance optimization in real and synthetic markets.
Kernel Methods and Support Vector Machines de-Mystified #topicmaps #kernelmethods #SVM #supportvector - ow.ly/amneF
TokyoNLP#7 きれいなジャイアンのカカカカ☆カーネル法入門-C++ #kernelmethods #nlp slideshare.net/sleepy_yoshi/t… @SlideShareさんから
@Dark_tex Thanks for sharing this. I need time to read the paper before answering. #MLatMSFT #kernelMethods
Trading on Memory: Why Markov Models Miss the Signal cognaptus.com/blog/2025-07-2… #tradingstrategies #kernelmethods #finance #machinelearning #quantitativefinance #RKHS #signaturekernels #mean-varianceoptimization
cognaptus.com
Trading on Memory: Why Markov Models Miss the Signal
A new kernel-based framework shows how embedding path-dependence directly into trading strategies beats classic mean-variance optimization in real and synthetic markets.
#MachineLearning #AIHistory #KernelMethods #Braverman #SovietAI #DataScience #ML #Bioinformatics #DeepLearning #SpectralClustering #LinkedInLearning
📘 Embarking on a challenging machine learning journey has brought me to kernel methods, a topic that tests even seasoned computer scientists. #KernelMethods #MachineLearning #AI #DataScience #Math #Optimization #Python ⬇️
Interested in explaining kernel methods (or GP) with Shapley values? Or in using SVs as attribution priors in ERM? I’ve got you covered! Check out my poster on RKHS-SHAP at Hall J #433 tmrw from 4-6pm CST! nips.cc/virtual/2022/p… #NeurIPS2022 #ExplainableAI #KernelMethods
you and other #kernelmethods enthusiasts would love my library which would make the development of advanced or domain-specific kernels very easy and intuitive: GitHub.com/raamana/kernel… 😄
Yesterday was a day very much circling around notions of quantum-assisted machine learning. After #QTML2021, Sofiene Jerbi from Innsbruck gave a wonderful talk on #quantummachinelearning beyond #kernelmethods in our reading group.
Very Interesting work 😀.. you might be interested in closely related #kernelmethods and exploiting a rich literature in that direction .. I’m a big fan of custom task-specific metrics and kernels : GitHub.com/raamana/kernel…
Curso sobre los fundamentos matemáticos de los métodos de kernel, así como los principales enfoques que han surgido hasta ahora en el diseño de kernels. ➡️ Playlist: youtube.com/playlist?list=… ➡️ Página web: members.cbio.mines-paristech.fr/~jvert/svn/ker… #machinelearning #kernelmethods
Sklearn custom kernel gives wrong decision function stackoverflow.com/questions/6785… #kernelmethods #svm #scikitlearn #machinelearning #python
insane focus on "impact" exists not just in for-profit elsevier companies but also in journals well-respected in #opensource 🌍: @JMLROrg rejected my #kernelmethods library coz "not popular enough with users/devs". Imagine if we rejected SVM from Vapnik coz no one else uses it?🤦♂️
Did some updates to my previous HEY world post on Random Features. Check it out. I also give some nuggets about a bias-free dataset that we curated some time ago. @heyhey #randomfeatures #deeplearning #kernelmethods #bias #facerecognition world.hey.com/decurtoidiaz/r…
Random Features revisited: DL meets Kernel methods. #randomfeatures #deeplearning #kernelmethods world.hey.com/decurtoidiaz/r…
Christopher Ré, @StanfordAILab on 'Theory and systems for weak supervision" - join him and Live Q&A next Tuesday #DeepLearning #kernelmethods @naverlabseurope Open seminar series 📆 Nov 17th 4pm CET Registration: bit.ly/3ksOZV5
Thanks Emmanuel for looping me in. Max, I'd love to incorporate your ideas and improvements into the #kernelmethods library, so it offers great ease of use customization and domain-agnosticness, as well as scalability for large-scale problems. Let me know your interest & plans
Sklearn custom kernel gives wrong decision function stackoverflow.com/questions/6785… #kernelmethods #svm #scikitlearn #machinelearning #python
Carlos and I came up with a new class of Emoji kernels. Coming soon to #kernelmethods! Also, perhaps Kardashian double Gaussian kernels too 😀
Yesterday was a day very much circling around notions of quantum-assisted machine learning. After #QTML2021, Sofiene Jerbi from Innsbruck gave a wonderful talk on #quantummachinelearning beyond #kernelmethods in our reading group.
Rene Fournier redesigning the #periodictable using #MachineLearning on 6-atom clusters. The first time I really understand #kernelmethods. #iccmse2019
Drop by my poster at D22 to learn more about the #kernelmethods, how you can leverage their power, and how easy it is now to compose and customize advanced techniques with beautiful #python code. #NI2019 Check it out github.com/raamana Scheduled demo tomorrow evening!
Work #1 explores #kernel methods for bivariate causal discovery using Conditional Mean Embedding (CME). A parsimony-based method helps infer causal direction by comparing complexity measures of CME sets. 📊 #KernelMethods #CausalDiscovery Great collab with @sejDino
Christopher Ré, @StanfordAILab on 'Theory and systems for weak supervision" - join him and Live Q&A next Tuesday #DeepLearning #kernelmethods @naverlabseurope Open seminar series 📆 Nov 17th 4pm CET Registration: bit.ly/3ksOZV5
You may have noticed #DeepLearning may not always beat the good old logistic regression or SVMs. So if you love #kernelmethods in #MachineLearning, here is a library you may quite enjoy: github.com/raamana/ Updates: drop-in estimator classes, more docs. Contributors welcome!
Curso sobre los fundamentos matemáticos de los métodos de kernel, así como los principales enfoques que han surgido hasta ahora en el diseño de kernels. ➡️ Playlist: youtube.com/playlist?list=… ➡️ Página web: members.cbio.mines-paristech.fr/~jvert/svn/ker… #machinelearning #kernelmethods
The docs for #kernelmethods library are significantly better now: raamana.github.io/kernelmethods/… with a good demo notebook on @mybinderteam : mybinder.org/v2/gh/raamana/… Feedback and contribs most welcome. #MachineLearning #DeepLearning #AI #DataScience
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