ELLIS Unit Milan - RIKEN AIP Joint Workshop

Name: ELLIS Unit Milan - RIKEN AIP Joint Workshop
Start: 2026-05-07T21:00:00+09:00
End: 2026-05-08T23:30:00+09:00

Two-day online RIKEN AIP and ELLIS Unit Milan joint workshop on ML theory: RL, online learning, bandits, deep nets, causal models.

When: May 7 – May 8(2 days)
starts 21:00 ·ends 23:30 JST
Where: Online
Organizer: RIKEN Center for Advanced Intelligence Project
Language: EN
Source: Doorkeeper

Open in Doorkeeper

Next from RIKEN Center for Advanced Intelligence Project

[107th TrustML Young Scientist Seminar] Talk by Prof. Mengyue Yang (University of Bristol) "Grounded LLM Reasoning: From Causal Reasoning to World Models"

TrustML seminar on grounding LLM reasoning with causality, from chain-of-thought evaluation to world models and causality-seeking agents.

Hybrid Kanto (Tokyo) EN

Open in Doorkeeper Calendar

Similar upcoming events

[Tensor Learning Team Seminar] - Talk by Dr. José Ramón Pareja Monturiol (Polytechnic University of Madrid) "Tensor Networks for Machine Learning: Models, Applications, and Learning Methods"

Seminar on tensor networks for machine learning: privacy, robustness, interpretability, model compression and learning methods.

Hybrid Other EN

Open in Doorkeeper Calendar

2nd Workshop on Learning Dynamical System (WLDS2)

Three-day hybrid RIKEN AIP research workshop on learning dynamical systems: neural ODEs, Koopman operators, climate data assimilation.

Hybrid Kanto (Tokyo) EN Nov 25 – Nov 27

Open in Doorkeeper Calendar

4th Conference on Parsimony and Learning (CPAL 2027)

CPAL 2027, an international machine learning conference on parsimony and low-dimensional structure, over four days at Hitotsubashi Hall, Tokyo.

In person Kanto (Tokyo) EN Mar 23 – Mar 26

Open in Doorkeeper Calendar

See all upcoming events →

Summary

RIKEN AIP and ELLIS Unit Milan run a two-day online joint workshop on machine learning theory and applications. Day 1 (May 7, 21:00–00:40 JST) opens with introductions from Nicolò Cesa-Bianchi and Masashi Sugiyama, then talks on reward modeling in reinforcement learning, dynamical analysis of deep networks and transformers, privacy-aware Bayesian networks, adaptive learning rates, implicit bias of gradient descent, SGD on k-juntas, and causal additive models. Day 2 (May 8, 16:00–23:30 JST) covers Laplacian representations for RL, regret minimization for piecewise linear rewards, adaptation costs in online learning, pure exploration, UMAP evaluation, task arithmetic for language models, online learning and game theory, target sample complexity, unconstrained linear bandits, AI-driven RIS-SWIPT for IoT, and time-frequency learning for time series forecasting. The program is research-grade and aimed at ML researchers and graduate students. Speakers are split between the two institutes, and sessions run live in English over the two evenings JST.

About the community

RIKEN AIP (Center for Advanced Intelligence Project) is Japan's national machine learning research center, hosting talks and workshops on the theoretical foundations of ML, reinforcement learning, statistical learning, and AI safety. Its Doorkeeper page announces seminars and joint workshops with international partners, mostly aimed at researchers and graduate students.

#machine-learning#reinforcement-learning#online-learning#deep-learning#research#workshop#bandits#research-workshop#causal-inference#ai