David MacKay

Name:	David MacKay
Affiliation:	Cavendish Laboratory
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	1 Mar 2016, 10:22 a.m.

Public lists managed by David MacKay

Talks given by David MacKay

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Data Modelling With Neural Networks (II): Content-Addressable Memories And State-Of-The-Art Error-Correcting Codes
• Approximating Probability Distributions (IV): Variational Methods
• Advanced Monte Carlo Methods and Variational Inference
• Approximating Probability Distributions (I)-(II): Monte Carlo Methods and Variational Inference
• Clustering, Laplace's Method, Monte Carlo Methods (I)
• An Introduction to Statistical Inference, Data Modelling & Pattern Recogntion
• Communication over noisy channels (III)
• Communication over noisy channels (II)
• Communication over noisy channels (I)
• Entropy and data compression (IV)
• Entropy and data compression (III)
• Entropy and data compression (II)
• Entropy and data compression (I)
• Introduction to information theory
• Sustainable energy without the hot air
• Sustainable Energy - without hot air
• Energy plans that add up
• Sustainable Energy – Without the Hot Air
• Education of Climate Change at Cambridge & Beyond
• Sustainable Energy Without the Hot Air
• Sustainable Energy - without the hot air
• Tutorial on Monte Carlo methods
• Physical Limitations on Energy Supply
• Error Correcting Codes
• Numbers, not adjectives - a rough guide to the sustainable energy problem
• Bliss-Dasher -- Efficient semantic writing with any muscle
• Sustainable Energy - Without the BS (Director's Cut)
• Kingman's coalescent, non-parametric Bayesian agglomerative clustering
• Sustainable Energy - Without the BS
• Sustainable Energy - Without the Hot Air
• Estimation of non-normalized statistical models using score matching
• Sustainable Energy - Without the Bullshit
• An interesting preprint

Talks organised by David MacKay

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that David MacKay actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Introduction to IFM's Distributed Information and Automation Laboratory
• Advanced automated assembly and repair round-table
• Hydrogen fuel cells
• Combining Collaborative Filtering with Meta Data for Scalable Recommendations
• A quick way to learn a mixture of exponentially many linear models
• Inferring building properties from temperature data
• Literature review presentations - Tidal power, and Fuel cells
• Deducing Principles in Natural Perception
• Geothermal power in Australia
• Cloud Ships for global warming reduction
• Dasher in Mandarin Chinese with Phonetic Pin Yin
• Optimizing Similarity Functions in Various Pattern Recognition Problems
• Visual Search: Applications and Computational Modelling
• Eye-Tracking in Virtual Reality
• Estimating the Pen Trajectories of Handwritten Static Scripts using Hidden Markov Models
• Power to Choose: How the energy choices people make will change their lives.
• Bayesian Inductive Programming
• Thermochemistry and Nuclear power - Clean responsive electricity
• Low-cost large-scale renewable energy
• Inferring the hazard rate in change point models
• Clustering by linear programming, convex optimization and belief propagation
• Artificial intelligence in combinatorial game design
• From Automated Currency Validation to Protein Fold Recognition: Probabilistic Multi-class Multi-kernel Learning
• Semantic Texton Forests for Image Categorization and Segmentation.
• Bayesian Models for Dependency Parsing Using Pitman-Yor Priors
• Gaussian Process Density Sampler
• Some models for biology
• (clashing event: Sustainable Energy and Arithmetic)
• Image superresolution
• Infera - a Bayesian team-ranking program from 1996
• Non-Rigid Photometric Stereo with Colored Lights
• NIPS presentations
• Composing: Linear and Non-Linear Thinking
• Life beyond the Physics department
• Branch and Bound reconstruction of Balanced Minimum Evolution optimal trees
• The last thing that we should talk about
• Bliss-Dasher -- Efficient semantic writing with any muscle
• Optimal Spreading Sequences for Chaos-Based Communication Systems; Using CSK as a Case Study
• Developing a general-purpose message-passing library
• Short talks about statistical machine learning IIII
• Discussion + tea
• Short talks about statistical machine learning III
• Inference in Gaussian Process models
• Short talks about statistical machine learning II
• coffee
• Short talks about statistical machine learning
• Sequencing hundreds of humans - how to collect the data efficiently and make sense of it
• Coffee + mingle
• Shape writing: a fast and fluid writing system designed for mobile devices
• Five energy plans for Britain
• Minimal Perfect Hashing: hash tables with no collisions
• cancelled
• Shape writing: fluid text entry on mobile devices
• Learning Patterns in the Game of Go
• Inductive Logic Programming and Kernel methods
• Metropolis-Coupled MCMC for Nested Sampling
• Some interesting data: Cryptic DNA sequence periodicities are ubiquitous, organism specific and distinguish introns from exons.
• Title to be confirmed
• Title to be confirmed
• NIPS presentations
• Modeling Natural Sounds with Gaussian Modulation Cascade Processes
• Estimation of non-normalized statistical models using score matching
• HMMs for controlling dynamical systems
• Discussion
• Nuclear fission and fusion
• Tide, Wave, and Offshore Wind
• Biofuels
• Carbon Sequestration
• The Transition from Fossil Fuels
• The Big Picture
• Dynamic imaging of blood flow in the conjunctival and episcleral microcirculations of the human eye: a new chapter in diagnostic imaging?
• Teaching Statistics - A Bag of Tricks
• Leaf Selection for Maximising Diversity in a Tree
• An interesting preprint
• neural phase codes
• Graphical Combinator Programming
• Implicit learning in Music
• Information-Theoretic Security in Wireless Networks: From Theory to Practice
• Music Access for the Disabled
• In search of the brain's wiring
• A Bayesian Unfolding Method Applied to the PAMELA Experiment
• Blissymbolics
• Finite element modelling of growing microtubules
• Capacity of phase-based attractor networks with pairwise couplings
• Joint LDPC Decoding and Timing Recovery Using Code Constraint Feedback
• How to Parameterize a Positive-definite Matrix
• Climate Change: The case for burying CO2
• The Capacity of the Deletion Channel
• Sleeping Beauty and the Armchair Cosmologist
• The 'Rich Club' phenomenon in large networks
• Bayesian approximation for physical inverse problems
• Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
• Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
• Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
• The Puppet Master - How the brain controls the body.
• SURVIVAL INTO THE FUTURE
• SURVIVING LONGER
• Protein Folding. Misfolding and disease.
• SURVIVING POVERTY AND FAMINE
• Machine Learning Journal Club: "Dependent Gaussian Processes"
• Machine Learning Journal Club: "Assessing Approximations for Gaussian Process Classification"
• Inositol: evolution's favourite molecule?
• Machine Learning Journal Club: "Sparse Gaussian Processes using Pseudo-inputs"
• SURVIVAL OF LANGUAGES
• reading-group: Divergence measures and message passing
• SURVIVAL OF CULTURE
• reading-group: Expectation Propagation
• reading-group: Interpolating Between Types and Tokens by Estimating Power-Law Generators
• Evolution of the Earth
• reading-group: TD-Gammon
• Packaging the genome: chromatin, DNA architecture and the role of proteins
• Reading Group: "Learning to Predict by the Methods of Temporal Differences"
• The Free Will Theorem
• Our Dynamic Sun
• multicanonical sampling
• Reading group: Bayesian inference via search