We will hold a joint workshop with A*STAR CFAR and NTU as follows.
Venue: Online
Co-organized with: A*STAR CFAR and NTU
Date: May 20, 2026
Time: 9:30 - 17:10 (UTC+8) / 10:30 - 18:10 (UTC+9, JST)
UTC+8 / UTC+9, JST
9:30 / 10:30 Opening address
9:35 / 10:35 Taiji Suzuki (University of Tokyo, RIKEN-AIP)
Title: Non-convex optimization on probability measure space: Escaping saddle, Newton extension, particle approximation
10:05 / 11:05 Ayumi Igarashi (RIKEN-AIP)
Title: Fair and Efficient Allocation of Indivisible Items: Theory and Applications
10:50 / 11:50 Shelvia Wongso (NTU, AIVP researcher)
Title: Possibilistic Variational Inference: Theory and Applications to Deep Learning
11:20 / 12:20 Ni Yao (NTU, AIVP researcher)
Title: Possibilistic Predictive Uncertainty for Deep Learning
13:20 / 14:20 Masashi Sugiyama (RIKEN AIP, University of Tokyo)
Title: Recent Advances in Reward Modeling for Reinforcement Learning
13:50 / 14:50 Huanjian Zhou (University of Tokyo, AIVP researcher)
Title: Parallel Sampling for Continuous and Discrete Diffusion Models
14:35 / 15:35 Atsushi Nitanda (A*STAR, NTU, AIVP co-PI)
Title: Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation
15:05 / 16:05 Tanya Veeravalli (A*STAR)
Title: Maximum Entropy under Carre du Champ Constraints
16:05 / 17:05 Takaharu Yaguchi (Kyushu Univ, RIKEN-AIP)
Title: Learning Symplectic Forms on Euclidean Spaces
16:35 / 17:35 Dake Bu (City University of Hong Kong, A*STAR)
Title: DPRM: A Plug-in Token-Ordering Module for Diffusion Language Models
17:05 / 18:05 Closing address
