Evolving Neural Networks in Compressed Weight Space Jan Koutník Faustino Gomez Jürgen Schmidhuber

Source URL: people.idsia.ch

• Artificial neural networks
• Evolutionary algorithms
• Evolutionary computation
• Genetic algorithms
• Computational statistics
• Neuroevolution
• Recurrent neural network
• HyperNEAT
• Synaptic weight
• Matrix

Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahc¸eci and Risto Miikkulainen Abstract— Learning is key to achieving human-level intelligence. Transferring knowledge that is learned on one task to anothe

Source URL: www.csse.uwa.edu.au

• Artificial neural networks
• Evolutionary algorithms
• Applied mathematics
• Artificial intelligence
• Machine learning
• Evolutionary computation
• Genetic algorithms
• Computational statistics
• Neuroevolution
• HyperNEAT
• Compositional pattern-producing network
• Pattern recognition

Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving

Source URL: game.itu.dk

• Artificial neural networks
• Dimension reduction
• Computational neuroscience
• Computational statistics
• Georgios N. Yannakakis
• Affective computing
• Machine learning
• Preference learning
• Competitive learning
• Artificial intelligence
• Self-organizing map
• Feature selection

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract

Source URL: www-stat.wharton.upenn.edu

• Monte Carlo methods
• Markov chain Monte Carlo
• Non-uniform random numbers
• Probability distributions
• Computational statistics
• Gibbs sampling
• Rejection sampling
• MetropolisHastings algorithm
• Slice sampling
• Bayesian network
• Quasiconvex function
• Normal distribution

Computational methods for mixed models Douglas Bates Department of Statistics University of Wisconsin – Madison November 22, 2014 Abstract

Source URL: cran.r-project.org

Workshop track - ICLRF EED -F ORWARD N ETWORKS WITH ATTENTION C AN S OLVE S OME L ONG -T ERM M EMORY P ROBLEMS Daniel P. W. Ellis LabROSA, Columbia University

Source URL: colinraffel.com

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Computational statistics
• Deep learning
• Recurrent neural network
• Speech recognition
• Sepp Hochreiter
• Long short-term memory
• Yoshua Bengio
• Backpropagation through time
• Memory

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e

Source URL: goldberg.berkeley.edu

• Statistics
• Markov models
• Machine learning
• Computational statistics
• Cluster analysis
• Mixture model
• Image segmentation
• Hidden Markov model
• K-means clustering
• Expectationmaximization algorithm
• BaumWelch algorithm
• Hierarchical clustering

Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland

Source URL: www.srl.inf.ethz.ch

• Computing
• Artificial intelligence
• Machine learning
• Graphical models
• Structured prediction
• Computational statistics
• Statistical classification
• Conditional random field
• Probabilistic programming language
• Inference
• Artificial neural network
• Support vector machine

ACCELERATING  SCIENCE:  A  COMPUTING  RESEARCH  AGENDA   Vasant  G.  Honavar1,  Mark  D.  Hill2,  and  Katherine  Yelick3   Computing  Community  Consortium  

Source URL: cra.org

• Formal sciences
• Science
• Bioinformatics
• Scientific modelling
• Experiment
• Statistics
• Neuroscience
• Research
• Outline of science
• Computational science