Probabilistic Modelling, Machine Learning, and the Information Revolution - Slides 2016/11/15 - 10:35am Slides Probabilistic Modelling, Machine Learning, Information Revolution
Future Directions of AI in the Enterprise - Slides 2016/11/15 - 10:25am Slides Artificial Intelligence, Intelligent Machines, Machine Learning Applications, Machine Learning, Artificial Neural Networks
Differentiable Neural Computer Family Tree Inference Task 2016/11/03 - 10:49pm Video Deep Neural Network Learning, Differentiable Neural Computer, Neural Networks
Monte Carlo Simulations in Ad Lift Measurement Using Spark 2016/11/01 - 10:37am Video Apache Spark, Monte Carlo Simulations, Ad Lift Measurement
Distributed Time Travel for Feature Generation 2016/11/01 - 10:35am Video Apache Spark, Distributed Time Travel, Feature Generation
A Deeper Understanding of Spark Internals 2016/11/01 - 10:34am Video Apache Spark
Re Architecting Spark For Performance Understandability 2016/11/01 - 10:32am Video Apache Spark
Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming 2016/11/01 - 10:31am Video Apache Spark
Operational Tips For Deploying Apache Spark 2016/11/01 - 10:29am Video Apache Spark
Top 5 Mistakes When Writing Spark Applications 2016/11/01 - 10:28am Video Apache Spark
Low Latency Execution For Apache Spark 2016/11/01 - 10:26am Video Apache Spark
Revisiting Semi-Supervised Learning with Graph Embeddings 2016/10/20 - 1:57pm Academic Paper Supervised Learning, Machine Learning, Semi-Supervised Learning, Graph Embeddings
Encode, Review, and Decode: Reviewer Module for Caption Generation 2016/10/20 - 1:52pm Academic Paper Computer Vision, Pattern Recognition, Reviewer Module, Caption Generation, Machine Learning, Image Captioning, Source Code Captioning
On Multiplicative Integration with Recurrent Neural Networks 2016/10/20 - 1:46pm Academic Paper Multiplicative Integration, Recurrent Neural Networks, Machine Learning
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations 2016/10/20 - 12:27pm Academic Paper Recurrent Neural Networks, Path-SGD Optimization Method, ReLU Activations, Machine Learning, Neural Computing, Evolutionary Computing
Iterative Refinement of Approximate Posterior for Training Directed Belief Networks 2016/10/20 - 12:14pm Academic Paper Variational Inference, Deep Directed Graphical Models, Iterative Refinement, Approximate Posterior, Directed Belief Networks, Machine Learning
Harnessing Deep Neural Networks with Logic Rules 2016/10/20 - 12:07pm Academic Paper Deep Neural Networks, Logic Rules, Machine Learning
Gated-Attention Readers for Text Comprehension 2016/10/20 - 11:55am Academic Paper Gated-Attention Readers, Text Comprehension, Recurrent Neural Network Reader, Machine Learning
Discovery of Peculiar Periodic Spectral Modulations in a Small Fraction of Solar Type Stars 2016/10/20 - 11:50am Academic Paper Periodic Spectral Modulations, Astronomy, Machine Learning, Spectroscopic, Sloan Digital Sky, Fourier Transform Analysis
Tensor Decompositions for Learning Latent Variable Models 2016/10/20 - 11:44am Academic Paper Tensor Decompositions, Learning Latent Variable Models, Machine Learning, Latent Variable Models, Gaussian Mixture Models, Hidden Markov Models, Topic Models, Method of Moments, Power Method
Meta-learning within Projective Simulation 2016/10/20 - 11:37am Academic Paper Meta-learning, Projective Simulation, Reinforcement Learning
Physics and Machine Learning - Emerging Paradigms 2016/10/20 - 11:32am Academic Paper Physics, Machine Learning, Quantum Machine Learning
Fourier PCA and Robust Tensor Decomposition 2016/10/20 - 11:28am Academic Paper Fourier PCA, Robust Tensor Decomposition, Machine Learning
A Spectral Algorithm for Latent Dirichlet Allocation 2016/10/20 - 11:24am Academic Paper Spectral Algorithm, Latent Dirichlet Allocation, Machine Learning
Most Tensor Problems are NP-hard 2016/10/20 - 11:19am Academic Paper Numerical Multilinear Algebra, Tensor Rank, Tensor Eigenvalue, Tensor Spectral Norm, Symmetric Tensors, NP-hardness, VNP-hardness, Undecidability, Polynomial Time Approximation
Preparing for the Future of Artificial Intelligence - National Science and Technology Council - October 2016 2016/10/18 - 10:44am White Paper AI, Artificial Intelligence, National Science and Technology Council, Machine Learning, Law, Regulation, Policy
Investigating the Right Tail of Wealth - Education, Cognitive Ability and Leadership 2016/10/18 - 10:42am Academic Paper Wealth, Education, Cognitive Ability, Leadership, Law, Regulation, Political Prediction, Policy
Statistical Mechanics of Human Weight Change 2016/10/18 - 10:38am Academic Paper Healthcare, Health Policy, Human Weight Change, BMI, Obesity
Deep Reinforcement Learning for Robotic Manipulation 2016/10/08 - 12:23pm Academic Paper Deep Reinforcement Learning, Robotic Manipulation, Collective Robot Reinforcement Learning, Robot Motion
Deep Visual Foresight for Planning Robot Motion 2016/10/08 - 12:19pm Academic Paper Deep Visual Foresight, Robot Motion, Deep Reinforcement Learning, Collective Robot Reinforcement Learning, Robot Learning
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search 2016/10/08 - 12:14pm Academic Paper Collective Robot Reinforcement Learning, Distributed Asynchronous Guided Policy Search, Deep Reinforcement Learning, Robot Learning
Path Integral Guided Policy Search 2016/10/08 - 12:11pm Academic Paper Path Integral Guided Policy Search, Deep Reinforcement Learning, Collaborative Deep Learning, Collective Robot Reinforcement Learning
Path Integral Guided Policy Search - Video 2016/10/08 - 12:06pm Video Path Integral Guided Policy Search, Deep Reinforcement Learning, Collective Robot Reinforcement Learning
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search - Video 2016/10/08 - 12:04pm Video Collective Robot Reinforcement Learning, Distributed Asynchronous Guided Policy Search, Deep Reinforcement Learning
Deep Visual Foresight for Planning Robot Motion - Video 2016/10/08 - 12:02pm Video Deep Visual Foresight, Robot Motion
Deep Reinforcement Learning for Robotic Manipulation - Video 2016/10/08 - 11:59am Video Deep Reinforcement Learning, Robotic Manipulation
Evolving Functional Programming Languages 2016/10/08 - 11:55am Slides Programming Languages
Staging Reactive Data Pipelines Using Kafka as Backbone 2016/10/08 - 11:53am Slides Reactive Data Pipelines, Kafka, Data Pipelines
Netty - Asynchronous Network Application Framework 2016/10/08 - 11:51am Slides Netty, Asynchronous Network Application Framework
Playing FPS Games with Deep Reinforcement Learning 2016/10/06 - 9:25am Academic Paper Deep Reinforcement Learning, Reinforcement Learning, Machine Learning Algorithms, Autonomous Agents
Making Sense of Recommendations 2016/10/06 - 9:19am Academic Paper Recommendation Engines, Recommendations, Classification Algorithms
Prediction Policy Problems 2016/10/06 - 9:18am Academic Paper Policy Prediction Models, Prediction, Policy
Political Connections and the Informativeness of Insider Trades 2016/10/06 - 9:15am Academic Paper Trading, Finance, Law, Regulation, Political Connections, Insider Trading
The Kelly Criterion in Blackjack Sports Betting, and the Stock Market 2016/10/06 - 9:12am White Paper Ed Thorp, Probabilistic Logic, Information Theory, Kelly Criterion, Blackjack, Sports Betting, Stock Market, Trading, Finance
SEC Order Approving the National Market System Plan to Implement a Tick 2016/10/06 - 9:09am White Paper Finance, Trading, Regulation, Law, SEC, National Market System
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 2016/10/01 - 1:44pm Academic Paper Neural Machine Translation System, Machine Translation, Machine Learning Use Cases, Machine Learning, Automated Translation, Recurrent Neural Network, Long Short Term Memory, LSTM
Task Specific Adversarial Cost Function 2016/10/01 - 1:38pm Academic Paper Task Specific Adversarial Cost Function, Machine Learning, Deep Learning, Generative Adversarial Networks, Retrieval
Classifying Options for Deep Reinforcement Learning 2016/10/01 - 1:35pm Academic Paper Machine Learning, Deep Learning, Deep Neural Network Learning, Deep Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning 2016/10/01 - 1:31pm Academic Paper Machine Learning, Deep Learning, Symbolic Reinforcement Learning, Deep Neural Network Learning
The Dataflow Model - A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2016/09/24 - 1:27pm Academic Paper Dataflow Model, Out-of-Order Data Processing, Data Processing, Data Streams