Resources

How Can We Trust Machine Learning? 2017/01/05 - 3:10pm Video Machine Learning, Trust
Using Bayesian Optimization to Tune Machine Learning Models 2017/01/05 - 3:07pm Video Bayesian Optimization, Machine Learning Models, Bayesian, Machine Learning
Why Machine Learning Algorithms Fall Short 2017/01/05 - 2:40pm Video Data Science, Machine Learning Algorithms, Machine Learning, Self-learning Systems
Building a Machine Learning Platform at Quora 2017/01/05 - 2:38pm Video Machine Learning Platform, Quora, Data Engineering, Machine Learning
Can Cognitive Neuroscience Provide a Theory of Deep Learning 2017/01/05 - 2:36pm Video Cognitive Neuroscience, Deep Learning
Generating a Billion Personal News Feeds 2017/01/05 - 2:34pm Video News Feeds, Machine Learning, News Feed Ranking
Smart Reply: Learning a Model of Conversation from Data 2017/01/05 - 2:32pm Video Semantic Clustering, Text Assistance, Conversation Model, Deep Learning with Text, Deep Learning
Personalization and Scalable Deep Learning with MXNET 2017/01/05 - 2:29pm Video Deep Learning, MXNET
Large-Scale Price Optimization via Network Flow 2016/12/10 - 1:21pm Academic Paper Machine Learning, Price Optimization, Network Flow, Pricing Optimization, Supply, Demand, Network Flow Algorithms
Optimal Architectures in a Solvable Model of Deep Networks 2016/12/10 - 1:10pm Academic Paper Machine Learning, Deep Networks, Optimal Architectures, Deep Network Architecture
Online Pricing with Strategic and Patient Buyers 2016/12/10 - 1:04pm Academic Paper Machine Learning, Pricing Optimization, Online Pricing, Strategic Buyers, Patient Buyers
Deep Learning for Predicting Human Strategic Behavior 2016/12/10 - 1:00pm Academic Paper Machine Learning, Deep Learning, Prediction, Predicting Human Strategic Behavior, Game Theory
Blind Attacks on Machine Learners 2016/12/10 - 12:56pm Academic Paper Machine Learning, False Data, Malicious Data, Data Veracity
Satisfying Real-world Goals with Dataset Constraints 2016/12/10 - 12:47pm Academic Paper Machine Learning, Training Data, Dataset Constraints, Misclassification Error
The Power of Optimization from Samples 2016/12/10 - 12:42pm Academic Paper Machine Learning, Optimization, Samples, Ranking, Optimal Tagging, Influence Maximization
Data Programming: Creating Large Training Sets, Quickly 2016/12/10 - 12:35pm Academic Paper Machine Learning, Training Data, Data Programming, Training Sets, Supervised Learning Methods
Cooperative Inverse Reinforcement Learning 2016/12/10 - 12:25pm Academic Paper Machine Learning, Reinforcement Learning, Cooperative Inverse Reinforcement Learning
Threshold Learning for Optimal Decision Making 2016/12/10 - 12:21pm Academic Paper Machine Learning, Reinforcement Learning, Threshold Learning, Decision Making
PAC Reinforcement Learning with Rich Observations 2016/12/10 - 12:16pm Academic Paper Machine Learning, Reinforcement Learning, PAC Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning 2016/12/10 - 12:09pm Academic Paper Machine Learning, Reinforcement Learning, Deep Multi-Agent Reinforcement Learning, Multiagent Systems
Doubly Convolutional Neural Networks 2016/12/10 - 12:02pm Academic Paper Machine Learning, Neural Networks, Convolutional Neural Networks
A Multi-Batch L-BFGS Method for Machine Learning 2016/12/10 - 11:58am Academic Paper Machine Learning, Multi-Batch L-BFGS Method, Optimization and Control
An Architecture for Deep, Hierarchical Generative Models 2016/12/10 - 11:53am Academic Paper Machine Learning, Directed Generative Models, Deep, Hierarchical Generative Models
Regret of Queueing Bandits 2016/12/10 - 11:47am Academic Paper Machine Learning, Queueing Bandits, Bandits, Systems and Control
On Robustness of Kernel Clustering 2016/12/10 - 11:43am Academic Paper Machine Learning, Kernel Clustering
Communication-Optimal Distributed Clustering 2016/12/10 - 11:39am Academic Paper Machine Learning, Communication-Optimal Distributed Clustering, Distributed Clustering
Improved Dropout for Shallow and Deep Learning 2016/12/10 - 11:35am Academic Paper Deep Learning, Improved Dropout, Shallow Learning
Power Failure - Why Small Sample Size Undermines the Reliability of Neuroscience 2016/12/09 - 9:38pm Academic Paper Sample Size, Reliability, Neuroscience, Reproducibility, Methodological Principles
Rationalizing Neural Predictions 2016/12/09 - 9:34pm Academic Paper Neural Predictions, Prediction
Outlook on Artificial Intelligence in the Enterprise 2016 2016/12/09 - 9:28pm White Paper Artificial Intelligence, Machine Learning, Enterprise
Managing the Machines - AI is Making Prediction Cheap, Posing New Challenges for Managers 2016/12/09 - 9:25pm White Paper Machine Learning, Artificial Intelligence
2016 Analysis of Long-Term U.S. Productivity Decline 2016/12/09 - 9:24pm White Paper Economic Growth, Productivity, Long-Term U.S. Productivity Decline
Tuning Recurrent Neural Networks with Reinforcement Learning 2016/12/01 - 9:01pm Academic Paper Recurrent Neural Networks, Reinforcement Learning, LSTM Neural Networks
Lip Reading Sentences in the Wild 2016/12/01 - 8:58pm Academic Paper Lip Reading, Computer Vision, Pattern Recognition, Speech Recognition
Achieving Human Parity in Conversational Speech Recognition 2016/12/01 - 8:54pm Academic Paper Speech Recognition, Conversational Speech Recognition, Computation and Language, Convolutional Networks, LSTM Neural Networks
Automated Inference on Criminality using Face Images 2016/12/01 - 8:50pm Academic Paper Pattern Recognition, Automated Inference, Criminality, Face Images, Computer Vision, Law, Regulation
Quantifying Decision Making for Data Science - From Data Acquisition to Modeling 2016/11/21 - 10:32pm Academic Paper Decision Making, Data Science, Data Acquisition, Modeling, ROI
The State of Applied Econometrics - Causality and Policy Evaluation 2016/11/21 - 10:29pm Academic Paper Econometrics, Applied Econometrics, Causality, Policy Evaluation, Economics
Cognitive Control as a Double-Edged Sword 2016/11/21 - 10:28pm Academic Paper Cognitive Control, Mind Modeling, Behavior
OpenStack Management at Hyperscale - A Verizon Case Study 2016/11/17 - 6:56pm Video OpenStack, Hyperscale, Verizon, Case Study
Best Practices for Deploying OpenStack Trove 2016/11/17 - 6:55pm Video OpenStack, Trove
Big Data and Machine Learning on OpenStack 2016/11/17 - 6:53pm Video Machine Learning, OpenStack
Architectural Considerations for Big Data Workloads on OpenStack 2016/11/17 - 6:51pm Video OpenStack, Kafka, Hadoop, NoSQL
Learning to Protect Communications with Adversarial Neural Cryptography 2016/11/17 - 1:58am Academic Paper Adversarial Neural Cryptography, Neural Networks, Encrypted Data, Privacy, Decryption, Cryptography
A Genetic-based Algorithm for Personalized Resistance Training 2016/11/17 - 1:53am Academic Paper Sports Science, Genetic-based Algorithm, Personalized Resistance Training, DNA, Endurance, Genotype, Personalized training, Polymorphism, Power
Regulating Innovation: Competition Policy and Patent Law under Uncertainty 2016/11/17 - 1:48am Academic Paper Law, Regulation, Innovation, Competition Policy, Patent Law
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

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