Reading Group. Discussion of the paper by Khan and Swaroop, 2021: [Knowledge-Adaptation Priors]
Reading Group. Discussion of the paper by Pearce et al., 2021: [Understanding Softmax Confidence and Uncertainty]
Reading Group. Discussion of the paper by Hara et. al., 2019: [Data Cleansing for Models Trained with SGD]
Reading Group. Discussion of the paper by Khan and Rue, 2021: [The Bayesian Learning Rule]
Casual chat in gather.town.
Reading Group. Discussion of the paper by Li et al., 2019: [Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization]
Reading Group. Discussion of the paper by Tsividis et al., 2021: [Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration and Planning]
Reading Group. Discussion of the paper by Hobbhahn and Hennig (2021): [Laplace Matching for Fast Approximate Inference in Generalized Linear Models]
Seminar. Leaving presentation by Dharmesh Tailor
Reading group. Discussion of the paper by Raj, Musco and Mackey (2020): [Importance Sampling via Local Sensitivity]
Show all reading group meetings
Reading group. Discussion of ICML 2021 papers.
Reading group. Discussion of the paper by Azoury and Warmuth (2001): [Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions]
Social chat in gathertown.
AIP seminar. Talk by Jooyeon Kim: “Stochastic optimal control and probabilistic modeling for detecting and reducing fake news”
AIP seminar. Talk by Adeline Fermanian on signature for machine learning.
Seminar. Talk by David Frazier. Title: loss-based variational Bayes prediction.
Internal group meeting.
Mutual feedback on NeurIPS papers.
Reading group. Discussion of ICLR 2021 papers.
Reading group. On the origin of implicit regularization in stochastic gradient descent. [Paper]
Reading group. Discussion of AISTATS 2021 papers.
Tutorial. Tutorial by Thomas Möllenhoff on convex duality: part 2.
Talk + Tutorial. Talk by Fariz Ikhwantri on “Knowledge distillation with DNN2GP” + tutorial by Thomas Möllenhoff on convex duality.
Informal group discussion.
Seminar, unusual day and time! Talk by Daniele Calandriello: “Scalable Determinantal Point Processes for Machine Learning”.
Internal group meeting.
Mutual feedback on ICML papers.
Catch up meeting.
Seminar, unusual day! Erik.
Reading group. Qi Qian, Hao Li, Juhua Hu: “Efficient Kernel Transfer in Knowledge Distillation”. [Paper]
Seminar. Peter, Thomas. Uncertainty estimation for Bayesian Neural Networks using infinite-width nets.
Pre-ICLR paper discussion.
Reading group. Ben Recht: “A Tour of Reinforcement Learning: The View from Continuous Control”. [Paper]
Team work review for the past 4 months. Siddarth’s talk on functional regularization on the memorable past. [Paper]
Unusual day and time! Dimitri Meunier: “Meta Learning meets Variational Inference. Learning priors with guarantees”.
Feedback discussion on the new team webpage.
Research chat and virtual breakfast/lunch/dinner in gather.town.
Siddharth Swaroop: A survey on federated learning.
Lab members project overview and discussion.
Pierre’s grant presentation rehearsal and feedback.
Reading group. “Gradient descent for wide two-layer neural networks”. [Blog post]
Reading group. “Generalized Variational Inference: Three arguments for deriving new posteriors”. [Paper]
Reading group. “On the measure of intelligence”. [Paper]
Whole week: comments on ICML tutorials and talks.
Pre-ICML paper discussion.
Talk by Evgenii Egorov. “Involutive MCMC: one way to derive them all”. [Paper]
Talk by Giulia Denevi on Efficient Lifelong Learning Algorithms: Regret Bounds and Statistical Guarantees.
Internal kickoff meeting.
Talk by Peter Nickl on “Variational Bayes for Infinite Mixtures of Local Regressors with Robotics Applications”. [Thesis]
Feedback discussion on our NeurIPS submissions.
Talk by Evgenii Egorov on MaxEntropy Pursuit Variational Inference. [Paper]
Reading Group. “Continual Deep Learning by Functional Regularisation of the Memorable Past”. [Paper]
Reading Group. Shalev-Shwartz: “Introduction to online learning”, Chapter 2 (end). [Paper]
Reading Group. Shalev-Shwartz: “Introduction to online learning”, Chapter 2. [Paper]
Reading Group. Shalev-Shwartz: “Introduction to online learning”, Chapter 1. [Paper]