Pinboard (arsyed) https://pinboard.in/u:arsyed/public/ recent bookmarks from arsyed [2001.08361] Scaling Laws for Neural Language Models 2020-03-05T20:32:07+00:00 https://arxiv.org/abs/2001.08361 arsyed neural-net error-landscape scaling https://pinboard.in/u:arsyed/b:74eddaf70e9a/ Lessons learned scaling PostgreSQL database to 1.2bn records/month 2019-11-22T16:31:29+00:00 https://medium.com/@gajus/lessons-learned-scaling-postgresql-database-to-1-2bn-records-month-edc5449b3067 arsyeddatabase postgresql scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:6ab0c631ded3/ [1902.10176] A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems 2019-03-26T21:31:35+00:00 https://arxiv.org/abs/1902.10176 arsyed optimization submodularity scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:fb2ff3b19cd1/ [1811.01159] Understanding and Comparing Scalable Gaussian Process Regression for Big Data 2018-11-06T03:58:20+00:00 https://arxiv.org/abs/1811.01159 arsyed gaussian-processes sparsity scaling big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:4eed30178bed/ 💥 Training Neural Nets on Larger Batches: Practical Tips on 1-GPU, Multi-GPU & Distributed setups 2018-10-15T15:37:27+00:00 https://medium.com/huggingface/training-larger-batches-practical-tips-on-1-gpu-multi-gpu-distributed-setups-ec88c3e51255 arsyed pytorch scaling gpu parallel neural-net batch-size .* gradient-accumulation https://pinboard.in/ https://pinboard.in/u:arsyed/b:84af6e932d9f/ [1804.03235] Large scale distributed neural network training through online distillation 2018-04-11T04:20:02+00:00 https://arxiv.org/abs/1804.03235 arsyed neural-net teacher-student knowledge-distillation scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:acfa7c9359e5/ Apache Arrow and the "10 Things I Hate About pandas" - Wes McKinney 2017-10-05T13:06:46+00:00 http://wesmckinney.com/blog/apache-arrow-pandas-internals/ arsyedapache-arrow pandas dataframe scaling interop https://pinboard.in/ https://pinboard.in/u:arsyed/b:4c5d6b03b1de/ datas-frame – Scalable Machine Learning (Part 2): Partial Fit 2017-09-25T23:24:11+00:00 http://tomaugspurger.github.io/scalable-ml-02.html arsyedpython pandas dask scaling sklearn out-of-core pipeline https://pinboard.in/ https://pinboard.in/u:arsyed/b:b9d58ad8ec7d/ Training with a large number of classes · David Barber 2017-06-15T17:46:52+00:00 https://davidbarber.github.io/blog/2017/03/15/large-number-of-classes/ arsyed.tab machine-learning scaling classification https://pinboard.in/ https://pinboard.in/u:arsyed/b:794d1870e36d/ [1512.00567] Rethinking the Inception Architecture for Computer Vision 2017-06-10T19:21:35+00:00 https://arxiv.org/abs/1512.00567 arsyed papers neural-net architecture inception computer-vision noise label-smoothing scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:d8e831b15453/ [1305.6646] Normalized Online Learning 2016-12-20T04:10:14+00:00 https://arxiv.org/abs/1305.6646 arsyed papers online-learning optimization scaling normalization https://pinboard.in/ https://pinboard.in/u:arsyed/b:31a4b2da10e9/ [1602.07714] Learning values across many orders of magnitude 2016-12-20T04:09:48+00:00 https://arxiv.org/abs/1602.07714 arsyed papers optimization normalization adaptive scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:2d9e0b6e55d3/ Scaling up crowd-sourcing to very large datasets 2016-11-16T09:05:03+00:00 http://dl.acm.org/citation.cfm?id=2735474 arsyed papers active-learning crowdsourcing scaling big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:5f0537fc2a5f/ Scalable Kernel Learning and Gaussian Processes 2016-10-25T02:15:09+00:00 https://people.orie.cornell.edu/andrew/code/ arsyedkernel-methods gaussian-processes kernel-learning scaling code https://pinboard.in/ https://pinboard.in/u:arsyed/b:c92c533d082d/ [1606.04838] Optimization Methods for Large-Scale Machine Learning 2016-07-27T02:41:55+00:00 https://arxiv.org/abs/1606.04838 arsyed papers optimization scaling machine-learning surveys https://pinboard.in/ https://pinboard.in/u:arsyed/b:b5f348d419a0/ Melanie Schmidt - TU Dortmund, Informatik 2 2016-06-15T04:53:56+00:00 http://ls2-www.cs.uni-dortmund.de/~schmidt/ arsyedpeople research clustering coreset scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:3e005f2014e5/ [1606.00389] Stream Clipper: Scalable Submodular Maximization on Stream 2016-06-12T16:27:38+00:00 http://arxiv.org/abs/1606.00389 arsyed submodularity data-stream scaling optimization https://pinboard.in/ https://pinboard.in/u:arsyed/b:77038c8a9d53/ [1606.00399] Scaling Submodular Maximization via Pruned Submodularity Graphs 2016-06-12T16:27:04+00:00 http://arxiv.org/abs/1606.00399 arsyed1) fraction of the nodes using weights on edges computed based on only a small number (O(logn)) of randomly sampled nodes. The algorithm requires logc√n steps with a small and highly parallelizable per-step computation. An accuracy-speed tradeoff parameter c, set as c=8, leads to a fast shrink rate 2‾√/4 and small iteration complexity log22√n. Analysis shows that w.h.p., the greedy algorithm on the pruned set of size O(log2n) can achieve a guarantee similar to that of processing the original dataset. In news and video summarization tasks, SS is able to substantially reduce both computational costs and memory usage, while maintaining (or even slightly exceeding) the quality of the original (and much more costly) greedy algorithm. ]]> submodularity optimization scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:efc127e33212/ wiseio/paratext: A library for reading text files over multiple cores. 2016-06-08T20:33:59+00:00 https://github.com/wiseio/paratext arsyed c++ libs text file parallel csv python pandas scaling big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:20957188bee2/ [1605.09619] Horizontally Scalable Submodular Maximization 2016-06-01T01:08:22+00:00 http://arxiv.org/abs/1605.09619 arsyed submodularity scaling optimization https://pinboard.in/ https://pinboard.in/u:arsyed/b:8634583f570a/ Scalable Exemplar Clustering and Facility Location viaAugmented Block Coordinate Descent with Column Generation 2016-05-13T19:20:52+00:00 http://www.jmlr.org/proceedings/papers/v51/yen16.pdf arsyedscaling algorithms clustering facility-location submodularity optimization https://pinboard.in/ https://pinboard.in/u:arsyed/b:b07d5d824e52/ Trading representability for scalability 2016-05-06T18:06:36+00:00 http://dl.acm.org/citation.cfm?id=2020420 arsyed papers machine-learning scaling classification ensemble svm hyperplane sgd https://pinboard.in/ https://pinboard.in/u:arsyed/b:bcf08db0fead/ Fast, Cheap and Deep: Scaling machine learning (Alex Smola) 2016-03-09T22:33:25+00:00 http://www.slideshare.net/SessionsEvents/alex-smola-professor-in-the-machine-learning-department-carnegie-mellon-university-at-mlconf-sf-111315 arsyedslides machine-learning scaling tensorflow mxnet https://pinboard.in/ https://pinboard.in/u:arsyed/b:f3b218f65ab4/ [1601.00393] On the Reducibility of Submodular Functions 2016-01-10T05:48:56+00:00 http://arxiv.org/abs/1601.00393 arsyed papers submodularity optimization reducibility scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:8f6559b6b624/ Brad Neuberg: NIPS Day 1: Tutorials on Scaling Deep Learning, Probabilistic Programming, and Reinforcement Learning 2015-12-10T14:45:58+00:00 http://codinginparadise.org/ebooks/html/blog/nips_day_1.html arsyednips-2015 jeff-dean google scaling machine-learning deep-learning swarch distcomp tensorflow reinforcement-learning https://pinboard.in/ https://pinboard.in/u:arsyed/b:afe8cd65e418/ Efficient Tabular Storage 2015-10-21T18:11:07+00:00 http://matthewrocklin.com/blog/work/2015/08/28/Storage/ arsyed dask csv python disk memory storage scaling performance bandwidth big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:4ea70e66f059/ Scaling high-order character language models to gigabytes 2015-10-13T01:15:44+00:00 http://dl.acm.org/citation.cfm?id=1626322 arsyed papers language-model ngram scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:e565721b2ff1/ The Unofficial Google Data Science Blog: An Introduction to the Poisson Bootstrap 2015-10-12T16:35:13+00:00 http://www.unofficialgoogledatascience.com/2015/08/an-introduction-to-poisson-bootstrap_26.html?m=1 arsyedstatcomp bootstrap poisson scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:8d942d30e39e/ numpy - How to efficiently calculate huge matrix multiplication (tfidf features) in Python? - Stack Overflow 2015-08-01T19:33:58+00:00 http://stackoverflow.com/questions/25104733/how-to-efficiently-calculate-huge-matrix-multiplication-tfidf-features-in-pyth arsyed scicomp machine-learning scaling performance tips random-projections distance pairwise https://pinboard.in/ https://pinboard.in/u:arsyed/b:a029e070e909/ Structured Data | Thoughts on: Big Data, Hadoop, Databases, Platform, Performance & Scalability 2015-07-15T09:53:04+00:00 http://structureddata.org/ arsyedblogs database performance scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:492c6b777deb/ GLMs, abridged 2015-06-26T02:56:46+00:00 http://bwlewis.github.io/GLM/ arsyed statistics statcomp glm R optimization scaling big-data .read https://pinboard.in/ https://pinboard.in/u:arsyed/b:bf5e9cf42624/ Parallel Double Greedy Submodular Maximization 2015-06-22T12:59:24+00:00 http://papers.nips.cc/paper/5491-parallel-double-greedy-submodular-maximization arsyed papers algorithms maximization parallel scaling submodularity https://pinboard.in/ https://pinboard.in/u:arsyed/b:fe9252d4346f/ Fast Multi-stage Submodular Maximization 2015-06-22T12:52:57+00:00 http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_wei14 arsyed papers algorithms maximization scaling multi-stage submodularity https://pinboard.in/ https://pinboard.in/u:arsyed/b:29f081fe7e66/ Hashing for Distributed Data | ICML 2015 | JMLR W&CP 2015-06-03T20:20:05+00:00 http://jmlr.org/proceedings/papers/v37/leng15.html arsyed papers algorithms hashing knn approximation parallel scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:e274080844c8/ The Power of Randomization: Distributed Submodular Maximization on Massive Datasets | ICML 2015 | JMLR W&CP 2015-06-03T20:16:46+00:00 http://jmlr.org/proceedings/papers/v37/barbosa15.html arsyed papers optimization maximization scaling parallel randomization submodularity https://pinboard.in/ https://pinboard.in/u:arsyed/b:1b995fb7587b/ LMW-tree by cmdevries 2015-06-01T20:08:11+00:00 http://lmwtree.devries.ninja/ arsyed c++ libs clustering ir data-structures k-tree knn scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:7bc4144ab950/ Michael C. Hughes 2015-05-27T15:13:25+00:00 http://web.michaelchughes.com/ arsyedpeople research machine-learning nonparametric scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:e44703c22a2e/ [1502.02606] The Power of Randomization: Distributed Submodular Maximization on Massive Datasets 2015-05-16T15:00:30+00:00 http://arxiv.org/abs/1502.02606 arsyed papers scaling randomization submodularity https://pinboard.in/ https://pinboard.in/u:arsyed/b:f1f0bdd32c85/ davidavdav/GaussianMixtures.jl 2015-04-18T10:46:22+00:00 https://github.com/davidavdav/GaussianMixtures.jl arsyed julia libs gmm scaling parallel https://pinboard.in/ https://pinboard.in/u:arsyed/b:3ff5630568b6/ LARGE-SCALE SPEAKER IDENTIFICATION 2015-02-17T20:14:50+00:00 http://people.csail.mit.edu/ludwigs/papers/icassp14_speakerlsh.pdf arsyed papers speaker-recognition i-vector scaling searching indexing knn hashing https://pinboard.in/ https://pinboard.in/u:arsyed/b:816761248e4c/ Fast and Accurate k-means For Large Datasets 2015-02-16T19:35:10+00:00 http://papers.nips.cc/paper/4362-fast-and-accurate-k-means-for-large-datasets arsyedpapers clustering k-means scaling coreset https://pinboard.in/ https://pinboard.in/u:arsyed/b:a03394334f35/ Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-Reduce 2015-02-16T18:35:22+00:00 http://www.clsp.jhu.edu/~delip/nocrawl/textgraphs09.pdf arsyedpapers ranking gbl graph mapReduce scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:75461509862f/ Large-Scale Kernel Machines | The MIT Press 2015-02-16T02:08:53+00:00 http://mitpress.mit.edu/books/large-scale-kernel-machines arsyedbooks machine-learning kernel-methods scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:01ec3d0a9a25/ Stochastic Gradient Descent Tricks 2015-02-16T01:47:02+00:00 http://leon.bottou.org/publications/pdf/tricks-2012.pdf arsyedmachine-learning tricks scaling sgd https://pinboard.in/ https://pinboard.in/u:arsyed/b:e4ea1d658f64/ Minibatch learning for large-scale data, using scikit-learn | Adventures in Data Science 2015-02-16T01:46:34+00:00 https://adventuresindatascience.wordpress.com/2014/12/30/minibatch-learning-for-large-scale-data-using-scikit-learn/ arsyedsklearn machine-learning scaling sgd online-learning mini-batch https://pinboard.in/ https://pinboard.in/u:arsyed/b:2f65cd84829a/ Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs | ICML 2014 | JMLR W&CP 2015-01-04T11:56:48+00:00 http://jmlr.org/proceedings/papers/v32/gieseke14.html arsyed papers kd-tree knn scaling gpu https://pinboard.in/ https://pinboard.in/u:arsyed/b:3138bf9e45db/ [1411.4000] How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets 2014-12-16T21:21:37+00:00 http://arxiv.org/abs/1411.4000 arsyed papers speech asr dnn kernel-methods scaling acoustic-model https://pinboard.in/ https://pinboard.in/u:arsyed/b:d021726895f1/ Large Scale Deep Learning 2014-12-10T17:19:50+00:00 http://static.googleusercontent.com/media/research.google.com/en/us/people/jeff/CIKM-keynote-Nov2014.pdf arsyedslides jeff-dean scaling machine-learning deep-learning neural-net https://pinboard.in/ https://pinboard.in/u:arsyed/b:9cb198d86966/ Summer School 2014 Learning at Scale 2014-10-26T04:05:20+00:00 http://madalgo.au.dk/fileadmin/madalgo/Summer_School_2014/Introduction__2_.pdf arsyedslides presentation machine-learning scaling .inspiration https://pinboard.in/ https://pinboard.in/u:arsyed/b:a19acf5f5d46/ Machine Learning with JSAT: Mini Batch K-Means vs Elkan 2014-10-09T04:25:21+00:00 http://jsatml.blogspot.com/2013/02/mini-batch-k-means-vs-elkan.html arsyedalgorithms clustering mini-batch scaling comparison k-means https://pinboard.in/ https://pinboard.in/u:arsyed/b:6d6518d7012f/ ptoulis/implicit-sgd 2014-10-04T16:50:29+00:00 https://github.com/ptoulis/implicit-sgd arsyed R code sgd scaling big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:9273163dcc74/ Machine Learning with Large Datasets 10-605 in Spring 2014 - Cohen Courses 2014-09-28T15:04:03+00:00 http://curtis.ml.cmu.edu/w/courses/index.php/Machine_Learning_with_Large_Datasets_10-605_in_Spring_2014 arsyedcourses machine-learning performance mmds scaling big-data william-cohen cmu https://pinboard.in/ https://pinboard.in/u:arsyed/b:5a91053fded8/ Avoiding Chef-Suck with Auto Scaling Groups - forty9ten 2014-09-23T15:32:10+00:00 http://forty9ten.com/post/64676776664/avoiding-chef-suck-with-auto-scaling-groups arsyeddeployment chef ec2 scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:69c1b6667145/ Large-scale text categorization by batch mode active learning 2014-09-03T15:03:00+00:00 http://dl.acm.org/citation.cfm?id=1135870 arsyed papers active-learning batch-mode scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:282e8017d527/ Learning In Extreme Conditions: Online And Active Learning With Massive, Imbalanced And Noisy Data 2014-09-02T18:23:14+00:00 https://etda.libraries.psu.edu/paper/9484/ arsyed papers thesis machine-learning online-learning active-learning scaling svm seyda-ertekin unbalanced-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:eb0aba101dea/ Active learning for large multi-class problems 2014-09-02T18:14:36+00:00 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5206651&abstractAccess=no&userType=inst arsyed papers active-learning scaling multi-class classification https://pinboard.in/ https://pinboard.in/u:arsyed/b:0c0d12143c6f/ Tea Time With: Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations | Garbled Notes 2014-08-03T06:42:14+00:00 http://www.chioka.in/tea-time-with-convolutional-deep-belief-networks-for-scalable-unsupervised-learning-of-hierarchical-representations/ arsyed neural-net convnet pooling scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:ceb4b7b6788d/ Learning Visual Representations at Scale 2014-04-16T18:32:23+00:00 https://bcb9f395-a-8ac90a7d-s-sites.googlegroups.com/a/vanhoucke.com/vincent/publications/vanhoucke-iclr14.pdf?attachauth=ANoY7coFEnIKISzOLVnX0s9zwv5-d15ocVtVDIqHbaIVBeqss0NoD9hk1FCvNXqNhjdi8LgmxxP-TqjEytBPFcWk91EG3f0WfvYYhfG1ftJq_8SmtTwVvwyn_aASMFY9ENoBoT5UlUv067EcBCi5_MHT2noyphZ9z_Oq0SJpLQOl8s8plVBpbgETF7ZkTf1GU2Mzll2AItk7GmOG9r8RhVYPTFN3mp35X4oML4yr3yFp4dVFA3-yKkw%3D&attredirects=0 arsyedslides neural-net deep-learning convnet representation-learning computer-vision scaling parallel https://pinboard.in/ https://pinboard.in/u:arsyed/b:f0242062374f/ Clustering at Large Scales 2014-03-25T01:58:45+00:00 http://www.cs.ucsb.edu/~veronika/MAE_LargeScaleClustering_strnadova.pdf arsyedclustering scaling algorithms surveys .* slides https://pinboard.in/ https://pinboard.in/u:arsyed/b:d0df0ae2b59f/ lightning — lightning dev documentation 2014-02-04T02:11:01+00:00 http://www.mblondel.org/lightning/ arsyed python libs machine-learning classification regression scaling performance ranking https://pinboard.in/ https://pinboard.in/u:arsyed/b:0ff9614dda03/ Why I left Heroku, and notes on my new AWS setup | Holovaty.com 2014-01-13T19:33:01+00:00 http://www.holovaty.com/writing/aws-notes/ arsyed heroku django deployment amazon aws scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:597822851e20/ elelsee 2014-01-13T19:30:17+00:00 http://elelsee.com/ arsyedpeople webdev scaling devops ofa obama https://pinboard.in/ https://pinboard.in/u:arsyed/b:94ec4ff6ea2d/ Scalable Strategies for Computing with Massive Data 2014-01-11T00:35:17+00:00 http://www.jstatsoft.org/v55/i14 arsyed R parallel memory scaling https://pinboard.in/ https://pinboard.in/u:arsyed/b:466e1f863222/ Scaling Mercurial at Facebook | Engineering Blog | Facebook Code | Facebook 2014-01-08T06:04:24+00:00 https://code.facebook.com/posts/218678814984400/scaling-mercurial-at-facebook/ arsyed facebook mercurial dvcs scaling via:chl performance https://pinboard.in/ https://pinboard.in/u:arsyed/b:81a3caa64acd/ [1110.4198] A Reliable Effective Terascale Linear Learning System 2013-11-10T20:07:08+00:00 http://arxiv.org/abs/1110.4198 arsyed papers machine-learning algorithms scaling big-data https://pinboard.in/ https://pinboard.in/u:arsyed/b:a04e03eb8268/ [1112.5016] A Scalable Bootstrap for Massive Data 2013-09-08T02:09:06+00:00 http://arxiv.org/abs/1112.5016 arsyed bagging via:arthegall papers statcomp bootstrap scaling https://pinboard.in/u:arsyed/b:ca8992355346/ data visualization - How to project high dimensional space into a two-dimensional plane? - Cross Validated 2013-07-14T03:19:58+00:00 http://stats.stackexchange.com/questions/63589/how-to-project-high-dimensional-space-into-a-two-dimensional-plane arsyed embedding mds pca scaling dimensionality-reduction https://pinboard.in/ https://pinboard.in/u:arsyed/b:cf410e4ce54c/ Large-Scale Support Vector Machines: Algorithms and Theory [pdf] 2013-04-26T18:35:37+00:00 http://cseweb.ucsd.edu/~akmenon/ResearchExam.pdf arsyedmachine-learning svm scaling bigdata https://pinboard.in/ https://pinboard.in/u:arsyed/b:f7695005c49a/ Heroku's Ugly Secret: The story of how the cloud-king turned its back on Rails | Hacker News 2013-02-14T12:10:50+00:00 http://news.ycombinator.com/item?id=5215884 arsyedqueueing load-balancing scaling heroku https://pinboard.in/ https://pinboard.in/u:arsyed/b:e55590b9cc7a/ James Somers – Heroku's Ugly Secret | Rap Genius 2013-02-14T12:10:23+00:00 http://rapgenius.com/James-somers-herokus-ugly-secret-lyrics arsyedheroku scaling load-balancing queueing https://pinboard.in/ https://pinboard.in/u:arsyed/b:33cc45b7a05f/