Workshop on Functional Inference and Machine Intelligence
The Workshop on Functional Inference and Machine Intelligence (FIMI) is an international workshop on machine learning and statistics, with a particular focus on theoretical and algorithmic aspects. It consists of invited talks and poster sessions, with topics including (but not limited):
- Kernel Methods and Gaussian Processes in Machine Learning
- Mathematical Analysis of Deep Learning
- Probabilistic Machine Learning
The workshop will be held at EURECOM, Sophia Antipolis, France, from 17-19 February 2020.
List of talks
| Title | Speaker |
|---|---|
| Kernel tests of goodness-of-fit using Stein’s method | Arthur Gretton (University College London) |
| Simulator Calibration under Covariate Shift with Kernels | Motonobu Kanagawa (EURECOM) |
| Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings | Dino Sejdinovic (University of Oxford) |
| Learning Conditional Moment Restrictions with Kernels | Krikamol Muandet (MPI for Intelligent Systems) |
| Learning Invariances using the Marginal Likelihood | Mark van der Wilk (Imperial College London) |
| Fast Discovery of Pairwise Interactions in High Dimensions using Bayes | Tamara Broderick (Massachusetts Institute of Technology) |
| Random Feature Expansions for Deep Gaussian Processes | Maurizio Filippone (EURECOM) |
| Fair and Explainable algorithmic decision making | Isabel Valera (MPI for Intelligent Systems) |
| Data interpolation and statistical optimality | Alexandre Tsybakov (CREST) |
| Statistical inference on M-estimators by high-dimensional Gaussian approximation | Masaaki Imaizumi (The Institute of Statistical Mathematics) |
| Fast learning rate of neural tangent kernel learning and nonconvex optimization by infinite dimensional Langevin dynamics in RKHS | Taiji Suzuki (The University of Tokyo) |
| Kernelized Wasserstein Natural Gradient | Michael Arbel (University College London) |
| Smoothness and Stability in Learning GANs | Kenji Fukumizu (The Institute of Statistical Mathematics / Preferred Networks) |
The full program is available on the FIMI website.