Graduate students
These are the people that make it all possible through their ingenuity and hard work.
PhD students
David Buchman
Matt Hoffman
Bobak Shahriari
Misha Denil
John Chia
Jing Fang
Ziyu Wang
Masrour Zoghi
Byron Knoll Masters thesis: A machine learning perspective on predictive coding using PAQ8 and new applications. Current position: Software engineer at Google.
Nimalan Mahendran Masters thesis: Bayesian Optimization for Adaptive MCMC. Current position: Software developer at Summify.
Eric Brochu PhD Thesis: Interactive Bayesian Optimization: : Learning user preferences for graphics and animation. Masters thesis: Milq. Current position: Senior Developer and Machine Learning Researcher at PocketPixels
Hendrik Kueck Masters thesis: Bayesian formulations of multiple instance learning with applications to general object recognition. Current position: Founder and "boss" at PocketPixels
Kevin Swersky. Masters thesis: Inductive principles for learning Restricted Boltzmann Machines. Current position: PhD student at University of Toronto
Bo Chen. Masters thesis: Deep learning of invariant spatio-temporal features from video. Current position: PhD student at Caltech.
Peter Carbonetto Masters thesis: Unsupervised statistical models for general object recognition. PhD thesis: New probabilistic inference algorithms that harness the strengths of variational and Monte Carlo methods. Current position: Postdoc at U. of Chicago
Firas Hamze. PhD thesis: Monte Carlo integration in discrete undirected probabilistic models. Current position: Researcher at D-Wave
Mike Vlad Cora. Masters thesis: Model-based active learning in hierarchical policies. Current position: Lead Gameplay Programmer at United Front Games
Ruben Martinez Cantin PhD thesis: Active Map Learning for Robots: Insights into Statistical Consistency. Current position: Associate Professor at Centro Universitario de la Defensa, Zaragoza, Spain.
Maryam Mahdaviani. Masters thesis: Semi-supervised and active training of conditional random fields for activity recognition. Current position: CEO at Optemo
Mingyue Tan. Masters thesis: Comparative study of Kernel based classification and feature selection methods with gene expression data. Current position: Program Manager at Microsoft
Asher Lipson. Masters thesis: Empirically evaluating multiagent reinforcement learning algorithms in repeated games. Current position: Head: Quantitative Research at Standard Bank, South Africa
Jean-Noel Rivasseau. Masters thesis: From the jungle to the garden : growing trees for Markov chain Monte Carlo inference in undirected graphical models. Current position: Entrepreneur at shoopz
Mike Klaas. Masters thesis: Exorcising N2 stigmata in Sequential Monte Carlo. Current position: CTO of Zite, acquired by CNN
Dustin Lang. Masters thesis: Fast methods for inference in graphical models and beat tracking the graphical model way. Current position: Postdoc at Princeton
Yizheng Cai. Masters thesis: Robust visual tracking for multiple targets. Current position: Software Engineer at Microsoft
Scott Helmer. Masters thesis: Object recognition with many local features. Current position: PhD at UBC
Ruben Morales Menendez. Current position: Full Professor at ITESM
Kejie Bao. Masters thesis: On-line EM and quasi-Bayes: How I learned to stop worrying and love stochastic approximation. Current position: Software Engineer at Yahoo
PhD students
David BuchmanMatt Hoffman
Bobak Shahriari
Masters students
Misha Denil
John Chia
Jing Fang
Ziyu Wang
Masrour Zoghi
Alumni
Byron Knoll Masters thesis: A machine learning perspective on predictive coding using PAQ8 and new applications. Current position: Software engineer at Google.
Nimalan Mahendran Masters thesis: Bayesian Optimization for Adaptive MCMC. Current position: Software developer at Summify.
Eric Brochu PhD Thesis: Interactive Bayesian Optimization: : Learning user preferences for graphics and animation. Masters thesis: Milq. Current position: Senior Developer and Machine Learning Researcher at PocketPixels
Hendrik Kueck Masters thesis: Bayesian formulations of multiple instance learning with applications to general object recognition. Current position: Founder and "boss" at PocketPixels
Kevin Swersky. Masters thesis: Inductive principles for learning Restricted Boltzmann Machines. Current position: PhD student at University of Toronto
Bo Chen. Masters thesis: Deep learning of invariant spatio-temporal features from video. Current position: PhD student at Caltech.
Peter Carbonetto Masters thesis: Unsupervised statistical models for general object recognition. PhD thesis: New probabilistic inference algorithms that harness the strengths of variational and Monte Carlo methods. Current position: Postdoc at U. of Chicago
Firas Hamze. PhD thesis: Monte Carlo integration in discrete undirected probabilistic models. Current position: Researcher at D-Wave
Mike Vlad Cora. Masters thesis: Model-based active learning in hierarchical policies. Current position: Lead Gameplay Programmer at United Front Games
Ruben Martinez Cantin PhD thesis: Active Map Learning for Robots: Insights into Statistical Consistency. Current position: Associate Professor at Centro Universitario de la Defensa, Zaragoza, Spain.
Maryam Mahdaviani. Masters thesis: Semi-supervised and active training of conditional random fields for activity recognition. Current position: CEO at Optemo
Mingyue Tan. Masters thesis: Comparative study of Kernel based classification and feature selection methods with gene expression data. Current position: Program Manager at Microsoft
Asher Lipson. Masters thesis: Empirically evaluating multiagent reinforcement learning algorithms in repeated games. Current position: Head: Quantitative Research at Standard Bank, South Africa
Jean-Noel Rivasseau. Masters thesis: From the jungle to the garden : growing trees for Markov chain Monte Carlo inference in undirected graphical models. Current position: Entrepreneur at shoopz
Mike Klaas. Masters thesis: Exorcising N2 stigmata in Sequential Monte Carlo. Current position: CTO of Zite, acquired by CNN
Dustin Lang. Masters thesis: Fast methods for inference in graphical models and beat tracking the graphical model way. Current position: Postdoc at Princeton
Yizheng Cai. Masters thesis: Robust visual tracking for multiple targets. Current position: Software Engineer at Microsoft
Scott Helmer. Masters thesis: Object recognition with many local features. Current position: PhD at UBC
Ruben Morales Menendez. Current position: Full Professor at ITESM
Kejie Bao. Masters thesis: On-line EM and quasi-Bayes: How I learned to stop worrying and love stochastic approximation. Current position: Software Engineer at Yahoo
NEWS AND MEDIA :
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- Our big data spin-off
Zite was acquired by CNN.
- AISTATS 2010 demo by Ben Marlin.
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MITACS
kindly awarded me the "MITACS Young Researcher Award".
I thank all my students and academic/industry collaborators for it.
In BC, we have an amazing pool of talented young IT students and professionals. Slides:
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Monte Carlo lectures -
Sequential Monte Carlo NIPS Tutorial slides:
- If you have a strong degree in physics, math, stats, neuroscience, EE or CS, join our team by applying here
- Interview for CTV about an art tool I designed with Eric Brochu.
- Bayesian Interactive Optimization for Procedural Animation:
- Introduction to machine learning video