Journal of Machine Learning Research @JmlrOrg
Official twitter account for the Journal of Machine Learning Research (JMLR) Joined May 2018-
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'A General Framework for the Analysis of Kernel-based Tests', by Tamara Fernández, Nicolás Rivera. jmlr.org/papers/v25/23-… #kernel #testing #tests
'Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent', by Jiaming Xu, Hanjing Zhu. jmlr.org/papers/v25/23-… #neurons #layers #sgd
'Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces', by Rui Wang, Yuesheng Xu, Mingsong Yan. jmlr.org/papers/v25/23-… #regularization #sparse #regularized
'Exploration of the Search Space of Gaussian Graphical Models for Paired Data', by Alberto Roverato, Dung Ngoc Nguyen. jmlr.org/papers/v25/23-… #models #submodel #lattice
'The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective', by Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar. jmlr.org/papers/v25/22-… #regularization #overparameterized #augmentation
'Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality', by Joshua Cutler, Mateo Díaz, Dmitriy Drusvyatskiy. jmlr.org/papers/v25/22-… #stochastic #optimal #approximation
'Minimax Rates for High-Dimensional Random Tessellation Forests', by Eliza O'Reilly, Ngoc Mai Tran. jmlr.org/papers/v25/22-… #classification #forests #ensembles
'Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks', by Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang. jmlr.org/papers/v25/22-… #quantile #nonparametric #regression
'Spatial meshing for general Bayesian multivariate models', by Michele Peruzzi, David B. Dunson. jmlr.org/papers/v25/22-… #multivariate #spatial #gaussian
'A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables', by Wei Luo, Yeying Zhu, Xuekui Zhang, Lin Lin. jmlr.org/papers/v25/21-… #nonparametric #causal #instrumental
'Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport', by Ricardo Baptista, Youssef Marzouk, Rebecca Morrison, Olivier Zahm. jmlr.org/papers/v25/21-… #probabilistic #distributions #sparse
'On the Learnability of Out-of-distribution Detection', by Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu. jmlr.org/papers/v25/23-… #classifier #learnability #detection
'Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training', by Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan. jmlr.org/papers/v25/23-… #optimizers #adaptive #accelerated
'On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains', by Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin. jmlr.org/papers/v25/23-… #kernels #kernel #rkhs
'Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions', by Maksim Velikanov, Dmitry Yarotsky. jmlr.org/papers/v25/23-… #spectral #optimization #spectrum
'ptwt - The PyTorch Wavelet Toolbox', by Moritz Wolter, Felix Blanke, Jochen Garcke, Charles Tapley Hoyt. jmlr.org/papers/v25/23-… #wavelets #wavelet #pytorch
'Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria', by Victor Bystrov, Viktoriia Naboka-Krell, Anna Staszewska-Bystrova, Peter Winker. jmlr.org/papers/v25/23-… #topics #lda #dirichlet
'Functional Directed Acyclic Graphs', by Kuang-Yao Lee, Lexin Li, Bing Li. jmlr.org/papers/v25/22-… #graph #proteomic #multivariate
'Unlabeled Principal Component Analysis and Matrix Completion', by Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris. jmlr.org/papers/v25/22-… #pca #matrices #algorithms
'Distributed Estimation on Semi-Supervised Generalized Linear Model', by Jiyuan Tu, Weidong Liu, Xiaojun Mao. jmlr.org/papers/v25/22-… #supervised #distributed #labeled
Gautam Kamath @thegautamkamath
44K Followers 507 Following Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.
Frank Nielsen @FrnkNlsn
23K Followers 1K Following Machine Learning & AI, Information Sciences & Information Geometry, Distances & Statistical models, HPC. "Geometry defines the architecture of spaces" @SonyCSL
Dan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
Thomas G. Dietterich @tdietterich
51K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability
Amin Karbasi @aminkarbasi
8K Followers 2K Following Associate Professor at Yale University, staff research scientist at Google.
Pierre Alquier @PierreAlquier
8K Followers 5K Following Professor of Statistics @ESSEC_AP 🇸🇬 // Previously @RIKEN_AIP 🇯🇵 @ENSAEparis 🇫🇷 @ucddublin 🇮🇪 🇪🇺 // random posts about research & birds photos // 🌈
Prof. Anima Anandkuma.. @AnimaAnandkumar
25K Followers 2K Following Bren Professor @caltech, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.
Peter Richtarik @peter_richtarik
6K Followers 593 Following Federated Learning Guru. Tweeting since 20.5.2020. Lived in 🇸🇰🇺🇸🇧🇪🇬🇧🇸🇦
Andreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspk
Michal Valko @misovalko
5K Followers 2K Following Llama @AIatMeta Paris & Inria & MVA - Ex: Gemini and BYOL @GoogleDeepMind
Francesco Orabona @bremen79
6K Followers 394 Following Associate professor at @KAUST_News. Formerly @BU_ece, @sbucompsc, @YahooResearch, @TTIC_Connect. ML theory&practice and history of science
Taco Cohen @TacoCohen
21K Followers 3K Following Deep learner at FAIR. Into codegen, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
rohan anil @_arohan_
12K Followers 2K Following Principal Engineer, @GoogleDeepMind Gemini. prev PaLM-2. Tinkering with optimization and distributed systems. opinions are my own.
Kyle Cranmer @KyleCranmer
16K Followers 3K Following Director Data Science Institute @UWMadison @datascience_uw. EiC @MLSTjournal. Physics, stats/ML/AI, open science. same handle @sigmoid.social and bsky
antonio vergari 💥 .. @tetraduzione
4K Followers 1K Following human being | associate prof in #ML #AI @ancAtEd | PI of #APRIL https://t.co/7uTqRZtmEd | #probabilistic #models #tractable #generative #neuro #symbolic |
Alexander Terenin @avt_im
6K Followers 950 Following Machine learning, artificial intelligence, decision theory | anti-ideological | thinking carefully about incentives | Assistant Research Professor @Cornell
epsilonX @epsilon7x
2 Followers 15 Following YouTube Channel: https://t.co/JpM4BzSDcV Instagram: https://t.co/15xYsdLpjF GitHub: https://t.co/KCBQIWRqsv
Gianne @HeleneGiannis
2 Followers 80 Following
theHealthCareAnalyst @CareAnalyst
0 Followers 28 Following the Storytelling of HealthCare | Data Insights | Productivity through Digital Transformation
MIT-IBM Watson AI Lab @MITIBMLab
7K Followers 688 Following A collaborative industrial-academic laboratory focused on advancing fundamental AI research. Associated with the @MIT_SCC.
amr yahia @Amr_Yahia1454
0 Followers 59 Following
ssteevens @Steevens43
160 Followers 5K Following
Theo Damoulas @TDamoulas
50 Followers 146 Following Professor of Machine Learning in CS/Stats @uniofwarwick | UKRI Turing AI Acceleration Fellow | Warwick ML Group https://t.co/Cq197vuidm
ML @Brooudy
115 Followers 639 Following
Ahmed Alaa @_ahmedmalaa
1K Followers 1K Following Assistant Professor @UCBerkeley + @UCSF || Ex-@broadinstitute of MIT/Harvard, @MIT, @UCLA, @Cambridge_Uni, @UniofOxford || Machine Learning & AI for Medicine.
Arif Ahmad @arif_ahmad_py
282 Followers 7K Following All things AI, Computer Science and Circuits! Prev. @GoogleAI
Stevens @upsideDon
7 Followers 85 Following
more_of_vicky @more_of_vicky
127 Followers 66 Following DEVELOPER x GRAPHIC DESIGNER ML•DATA SCIENCE
Cristian Rojas @CristianLexRoC
10 Followers 208 Following
Md Manower Hussain @manower56
0 Followers 18 Following
Murat Kocaoglu @murat_kocaoglu_
2K Followers 370 Following Asst. Prof. at Purdue ECE. Works on causal machine learning, deep generative models, information theory. Was at the MIT-IBM Watson AI Lab, UT Austin, Koc, METU.
subramanyam GV (म�.. @subbugvs
32 Followers 309 Following
Seren Scott @Serenaughty
34 Followers 192 Following
Eredin @aygcwll16629
0 Followers 62 Following
OLUBUSOLA IYIOLA @OLUBUSOLAIYIOL1
46 Followers 333 Following I am a mathematician, a computer programmer, I play musical instruments like the drumset and guitar.I am graphics designer. I am more of a problem solver
Padma @padmanaba_offcl
0 Followers 98 Following
AI_Prompt @P3C6G9
32 Followers 40 Following Digital Art Creator & Trader, AI Enthusiast, Digital World Decoder and Transformer, Programmer, BI Consultant, Drone Pilot Wannabe...
RajeshKatta @RajeshKatta277
20 Followers 93 Following
Ray Bai @raybai07
1K Followers 941 Following Assistant Professor at @UofSCStatistics, French bulldog dad, and pop culture enthusiast. 👨🏫📊 📚👨🍳🏳️🌈
oluwashow @oluwashow
226 Followers 1K Following Excellent Predictor Green Ticket 💚 🎫 Handsome Sweet Talker, Punter, Football Fan⚽
Crescendo.ai @CrescendoAi
53 Followers 321 Following Data Science and AI R&D Firm Helping public and private companies, make smarter decisions, with AI.🤖
Asray @Asray77407575
4 Followers 104 Following
Anurag Roy @royanurag19
34 Followers 263 Following 🔬PhD Candidate at @CNeRG, IIT Kharagpur 🎓| Specializing in Continual Learning 🧠 | Former @AmazonScience Intern 🌐 |📚 #AIResearch #ContinualLearning #PhDLife
Noga Mudrik 🎗️�.. @MudrikNoga
175 Followers 313 Following PhD candidate at @JohnsHopkins study computational neuroscience. @TelAvivUni alumna. Israeli. Zionist. she/her.
Janhavee Shinde @SJanhavee
61 Followers 2K Following
T. Y（WFH） @takachiko
1K Followers 3K Following Company Researcher. Ph.D in Law&Econometrics. Recently multimodal recognition,I talk excluding secret information around my works in lab.
James Wu @genemachine18
0 Followers 19 Following
Valquiria🥀 @vallavx
115 Followers 469 Following Thank you for stopping by my page. Follow my business page on the gram @couturebyvalquiria UMD Alumna 🖤❤️💛🐢
McKenzie @McKenzie1476047
0 Followers 14 Following
Nawaf Bou-Rabee @nawaf_bou
14 Followers 18 Following Math Professor @RutgersU | Visiting Scholar @FlatironCCM | Research Interests: MCMC, Markov Chain Mixing Time, Stochastic Differential Equations, & Couplings.
KOHs_emp @sg04332
102 Followers 427 Following CS D1/Kaggle contributor 🥈×1/SIGNATE Expert 🥈×2, 🥉×2/ Atcoder 茶/統計検定1級(統計数理)/AP/
Khalid Khan @KhalidKhan76767
3 Followers 122 Following
Mohammad hadi Nicknam @_Nicknam_
22 Followers 502 Following CS @ Aut , (Tehran Polytechnique)، R.A. @ SUT working on Computer Vision , This account is on the training process to find his optimum point ... , @__nicknam__
JC Zhu @JCZhu143293
2 Followers 86 Following
Alo @Hal90910
0 Followers 3K Following
Xuhui Zhang @XuhuiZhangXHZ
8 Followers 253 Following
wanlin zhu @dlzwl
66 Followers 5K Following
xbz @xxx1116061
0 Followers 43 Following
NeurIPS Conference @NeurIPSConf
112K Followers 35 Following New Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].
ICML Conference @icmlconf
70K Followers 17 Following Int'l Conf on ML • July 21-27, 2024 (Vienna, Austria) • #icml2024 • Contact: https://t.co/6saHKWV01y • https://t.co/sFwmcQNWkE
Transactions on Machi.. @TmlrOrg
5K Followers 3 Following Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning researchThe TMLR team is happy to announce that we are now accepting submissions! jmlr.org/tmlr/news/2022…
The JMLR is such an incredible symbol of the AI community's ability to reject outside/nonsense sources of power, and organise itself how it wants to I wrote about that here: arxiv.org/abs/2001.06528
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
Personally I have enjoyed doing AE work at JMLR. I am much more busy now than when I started (2017), but still it is much easier to maintain the quality of reviews. Also, I didn’t realize that JMLR now has a slightly lower acceptance rate (17%) than NeurIPS, ICML (>20%). 😱
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
JMLR is an amazing publication venue - high-quality and high-impact papers published in a totally free and open journal that costs roughly $0 to run. And the reviewing quality is excellent to boot. I wish every venue was like JMLR.
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
This has been a very interesting dive for me into the history & workings of a fully free and open journal I'm proud to be a part of. I'm excited to share it! It's an honour and just good old fashioned fun working with such a great team. Happy 20th Birthday JMLR!
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
@hippopedoid @mbeisen @BachFrancis @KordingLab If you're interested in more info on JMLR, we just posted our 20th anniversary blog post! x.com/jmlrorg/status…
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
Some interesting statistics and retrospectives on JMLR. I wasn't aware of how selective it is: only ~20% acceptance rate, with ~40% of papers desk rejected.
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
It a privilege and a honor to witness JMLR inner workings. Here some data we gathered that I think you'll find interesting, with @tegan_maharaj, Alp Kucukelbir, Rajarshi Das, @vborghesani, @BachFrancis, David Blei and @bschoelkopf
Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): jmlr.org/news/2022/retr… Thanks to our amazing community and cheers to what the future will bring!
🚀POT: Python Optimal Transport has been accepted to publication at @JmlrOrg Open Source Software 🥳🎉🎊 ! If you are using the toolbox for your research, please cite the paper #optimaltransport #opensource
POT: Python Optimal Transport toolbox has been published in JMLR. From now please cite the new paper with all contributors to acknowledge their important work (good things like pytorch differentiable solvers are coming BTW). jmlr.org/papers/v22/20-…
After 5 years of work, our paper "Modular Proximal Optimization for Multidimensional Total-Variation Regularization" has been finally published in JMLR!! jmlr.org/papers/v19/13-… Code also available github.com/albarji/proxTV @optiML @JmlrOrg
Congratulations to my colleague @niedakh on his latest @JmlrOrg publication about his scikit-multilearn library, which implements state-of-the-art multilabel classification methods! Great work! jmlr.org/papers/volume2…
Our #tensorLy paper for #tensor methods in #Python with Yannis Panagakis, @AnimaAnandkumar and @MajaPantic70 is now officially published in JMLR jmlr.org/papers/v20/18-… @JmlrOrg Please cite if you use it/find it useful! :)
Peer review in #MachineLearning journals often work. A great thanks here for the reviewers, who read and digested our 49-pages paper (with @albertobietti), and who provided an amazingly detailed feedback. Same positive experience recently at Siam Journal on Optimization.
"Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations", by Alberto Bietti, Julien Mairal. jmlr.org/papers/v20/18-…
A (kinda old) nice post by @pmphlt on how @JmlrOrg manages to subsist as a fully open access journal. Spoiler: most of the labor is done on a volunteer basis anyway. blogs.harvard.edu/pamphlet/2012/…. Reminder to sign the boycott of @NatMachIntell: openaccess.engineering.oregonstate.edu
Wins the paper title award.
"Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling", by Mariano Tepper, Anirvan M. Sengupta, Dmitri Chklovskii. jmlr.org/papers/v19/18-…
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