Haitch Labs
@haitchlabs
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Where cutting edge machine learning meets high performance software engineering. #MachineLearning @Algomancer
Joined February 2016
RT @OpenAI: OpenAI and Microsoft:
openai.com
We’re working with Microsoft to start running most of our large-scale experiments on Azure.
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RT @Algomancer: Every day waking up to build the coolest shit on the planet. Loving it. #StartupAus @haitchlabs @kendricktrh @Byron__Mejia….
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RT @Algomancer: Quickly whipped up a @scala_js @playframework Full Stack @scala_lang Starter Skeleton with Binding.scala .
github.com
Play 2.5, ScalaJS, Binding.scala starter project. Contribute to Algomancer/Full-Stack-Scala-Starter development by creating an account on GitHub.
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DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification. (arXiv:1609.02521v1 [stat.ML])
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Functorial Hierarchical Clustering with Overlaps. (arXiv:1609.02513v1 [cs.LG]) #MachineLearning.
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Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. (arXiv:1609.02208v1 [cs.IT])
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Discrete Variational Autoencoders. (arXiv:1609.02200v1 [stat.ML]) #MachineLearning #ArtificialIntelligence.
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Multivariate Spearman's rho for aggregating ranks using copulas. (arXiv:1410.4391v3 [stat.ML] UPDATED)
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Ask the GRU: Multi-task Learning for Deep Text Recommendations. (arXiv:1609.02116v1 [stat.ML]) #MachineLearning.
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Random matrices meet machine learning: a large dimensional analysis of LS-SVM. (arXiv:1609.02020v1 [stat.ML])
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Chaining Bounds for Empirical Risk Minimization. (arXiv:1609.01872v1 [stat.ML]) #MachineLearning.
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Learning Boltzmann Machine with EM-like Method. (arXiv:1609.01840v1 [cs.LG]) #MachineLearning.
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Law of Large Graphs. (arXiv:1609.01672v1 [stat.ME]) #MachineLearning #ArtificialIntelligence.
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Direct Feedback Alignment Provides Learning in Deep Neural Networks. (arXiv:1609.01596v1 [stat.ML])
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Q-Learning with Basic Emotions. (arXiv:1609.01468v1 [cs.AI]) #MachineLearning #ArtificialIntelligence.
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Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty. (arXiv:1609.01423v1 [stat.ML])
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High Dimensional Human Guided Machine Learning. (arXiv:1609.00904v1 [cs.AI]) #MachineLearning.
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A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. (arXiv:1609.00878v1 [cs.CV])
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RT @Algomancer: Pretty Excited @QUTCode can send people to #Hatchathon to help solve Australia's health challenges in Sydney this weekend.….
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Graph-Based Active Learning: A New Look at Expected Error Minimization. (arXiv:1609.00845v1 [stat.ML])
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