Talks
Tutorials
| Date | Talk |
|---|---|
| Dec 2019 |
NeurIPS 2019 Tutorial: Interpretable Comparison of Distributions and Models NeurIPS 2019. Video. Slides (part 1, part 2, part 3). 3000+ people in the live audience. |
| Mar 2018 |
Machine Learning Fundamentals VISTEC, Rayong, Thailand. The first part of a series of four talks. Event details here. Slides |
| Mar 2018 |
Introduction to Kernel Methods for Comparing Distributions BKK Machine Learning Meetup, Bangkok, Thailand. Slides |
Research
| Date | Talk | |
|---|---|---|
| 11 Oct 2019 |
Informative Features for Model Comparison Swiss Data Science Center (invited talk) Talk recording |
Slides |
| Sep 2019 |
Informative Features for Comparing Distributions DALI Meeting 2019 |
Slides |
| Feb 2018 |
A Linear-Time Kernel Goodness-of-Fit Test Workshop on Functional Inference and Machine Intelligence, Tokyo. |
Slides |
| June 2017 |
The Finite-Set Independence Criterion (FSIC) 3rd UCL Workshop on the Theory of Big Data, London. |
Slides |
| Feb 2017 |
An Adaptive Test of Independence with Analytic Kernel Embeddings Probabilistic Graphical Model Workshop 2017, Tokyo. |
Slides |
| Dec 2016 |
Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 |
Slides |
| May 2016 |
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016 |
Slides |
| Dec 2015 |
Locally Linear Latent Variable Model CSML, UCL |
Slides |
| Apr 2015 |
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages |
Slides |
| Feb 2012 |
Feature Selection via L1-penalized Squared-loss Mutual Information |
Slides |
Tea talks
Tea talks I gave at Max Planck Institute for Intelligent Systems when I was a postdoc, and at Gatsby Unit, UCL when I was a PhD student.
| Date | Talk | |
|---|---|---|
| 9 April 2020 |
Integers and Divisibility |
Slides |
| May 2017 |
Exact String Matching with Z-Array |
Slides |
| Feb 2017 |
Some Counterexamples in Probability |
Slides |
| Oct 2016 |
Support Points |
Slides |
| July 2016 |
Least-Squares Two-Sample Test |
Slides |
| Dec 2015 |
9 Matlab Tricks that You Probably Want to Know |
Slides |
| Oct 2015 |
Optimal Dating Strategy |
Slides |
| July 2015 |
Support Vector Clustering |
Slides |
| May 2016 |
Useful Software/Tricks You Should Know |
Slides |
| Nov 2014 |
Public-key Cryptography with RSA |
Slides |
| Sep 2014 |
True Online TD$(\lambda)$ |
Slides |
| Jun 2014 |
Local Fisher Discriminant Analysis |
Slides |
| Apr 2014 |
Learning with Local and Global Consistency |
Slides |
Machine Learning Journal Club
Talks I gave at the machine learning journal club at Gatsby Unit as a PhD student.
| Date | Talk | |
|---|---|---|
| Jan 2017 |
Examples are not Enough, Learn to Criticize! Criticism for Interpretability |
Slides |
| Oct 2016 |
Determinantal Point Processes for Machine Learning |
Slides |
| Feb 2016 |
Bayesian Indirect Inference Using a Parametric Auxiliary Model |
Slides |
| Nov 2015 |
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-shift Alternatives |
Slides |
| Aug 2015 |
Landmarking Manifolds with Gaussian Processes |
Slides |
| May 2015 |
Deep Exponential Families |
Slides |
| Apr 2015 |
Mean Field Methods |
Slides |
| Feb 2015 |
Sum-Product, Bethe Approximation |
Slides |