Shakir Mohamed

Name:	Shakir Mohamed
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Mon Sep 12 19:23:05 +0000 2011

Public lists managed by Shakir Mohamed

• SBR Graduate Talks

Talks given by Shakir Mohamed

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.

• Adaptive Hamiltonian-based MCMC samplers
• Bregman Divergences and Machine Learning

Talks organised by Shakir Mohamed

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

• Deep Belief Networks for Phone Recongition
• The effect of normalization -- a case study in speech synthesis
• Optimal weighted nearest neighbour classifiers
• Kernel Methods
• Machine Learning techniques in computer vision applications
• Infinite multiple relational models for complex networks
• Completely Random Measures
• Submodularity for Machine Learning
• NIPS Highlight Session
• Poisson Processes
• Convex Optimisation
• An Introduction to Bayesian Statistics
• Cancelled: No RCC
• Herding or a '3rd way to learn'
• Advanced Scientific Programming in Python
• Unsupervised Grammar Induction
• Structured Learning and Structural SVMs
• Conditional Random Fields : Theory and Application
• Redirected to Rob Nowak, LR12
• Topics in Statistical Machine Translation
• Title to be confirmed
• Information Retrieval
• Numerical Linear Algebra
• Bundle methods and its application in machine learning
• Sparsification for Gaussian Processes for Regression
• Title to be confirmed
• Splitting up and letting go - Retinal cells in motion
• Inducing Amnesia through Executive Control
• Cancelled
• Cancelled
• The 'Voice' of Authority; a framework for analysing how authority can be built and maintained
• Dealing with a Pain in the Backside: Materials Science Solutions to Low Back Pain
• Title to be confirmed
• Semi supervised learning
• Variational inference in graphical models: The view from the marginal polytope
• The Fractional Belief Propagation menace
• (Canceled) A Causal Calculus for Statistical Research
• Title to be confirmed
• RCC Planning Meeting
• Unbounded-depth hierarchical Pitman-Yor processes
• Learning rates in Bayesian nonparametrics
• Understanding the Origins of Aggressive Cancers
• Title to be confirmed
• Bayesian Agglomerative Clustering with Coalescents
• Filtering of Noisy Time-Series Data
• Speed Reviewing
• High-dimensional variable selection via sure independence screening
• Ensemble Methods in Machine Learning
• Structured prediction using energy-based models
• Why is the International Community Still Managing Bosnia and Herzegovina 14 years After the war has ended?
• Verse Texts as Evidence for Linguistic Change: the Case of Medieval French.
• Technical Writing II
• Hessian-based Markov-Chain Monte Carlo Algorithms
• Message Passing
• Slice Sampling
• Title to be confirmed
• Title to be confirmed
• Technical Writing
• Divergence measures and message passing
• The IBM approach to speech separation
• Parsing Images the UCLA Way
• Hilbert space embedding of probability distributions
• Bregman Divergences and Machine Learning
• The Convex Concave Procedure
• Hybrids of Generative and Discriminative Models (Cont)
• Large Margin Training of Hidden Markov Models
• Hybrid of Generative and Discriminative Models
• Divergence measures and message passing - CANCELLED
• Distributed Computing for Machine Learning
• A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
• Probabalistic Inference for solving (PO)MDPs
• NIPS Offline Conference
• An Introduction to Relational Learning
• Bayesian Reinforcement Learning in Continuous POMDPs
• Cluster Analysis of Heterogeneous Rank Data
• Gaussian Process Latent Variable Models
• Point Process Intensity Estimation with GP's
• Knows What It Knows: A Framework For Self-Aware Learning
• Approximating the Kullback-Leibler Divergence Between GMMs
• To Naive Bayes or to Logistically Regress: That is the Question
• CANCELLED
• Condition Monitoring
• Title to be confirmed
• Levy Processes
• The War on Loops