This page contains selected talks I have given.

- Feb 2017: An Adaptive Test of Independence with Analytic Kernel Embeddings
- Dec 2016: Interpretable Distribution Features with Maximum Testing Power
- May 2016: K2-ABC: Approximate Bayesian Computation with Kernel Embeddings
- Dec 2015: Locally Linear Latent Variable Model
- Apr 2015: Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages
- Feb 2012: Feature Selection via $\ell_1$-penalized Squared-loss Mutual Information

- May 2017: Exact String Matching with Z-Array
- Feb 2017: Some Counterexamples in Probability
- Oct 2016: Support Points
- July 2016: Least-Squares Two-Sample Test
- Dec 2015: 9 Matlab Tricks that You Probably Want to Know
- Oct 2015: Optimal Dating Strategy
- July 2015: Support Vector Clustering
- May 2016: Useful Software/Tricks You Should Know
- Nov 2014: Public-key Cryptography with RSA
- Sep 2014: True Online TD$(\lambda)$
- Jun 2014: Local Fisher Discriminant Analysis
- Apr 2014: Learning with Local and Global Consistency

- Jan 2017: Examples are not Enough, Learn to Criticize! Criticism for Interpretability
- Oct 2016: Determinantal Point Processes for Machine Learning
- Feb 2016: Bayesian Indirect Inference Using a Parametric Auxiliary Model
- Nov 2015: On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-shift Alternatives
- Aug 2015: Landmarking Manifolds with Gaussian Processes
- May 2015: Deep Exponential Families
- Apr 2015: Mean Field Methods
- Feb 2015: Sum-Product, Bethe Approximation