Events

Louis Bigo (University of Lille) – Modeling language in musical scores

In this talk, we focus on two estimation problems: i) sparse regression and ii) sparse and smooth signal recovery. The first one is known to be NP-hard; we show that the second one is equivalent to a submodular minimization problem and, hence, it is polynomially solvable. For both problems, we derive a sequence of strong conic relaxations. The proposed rank-one strengthening can be interpreted as a non-separable, non-convex, unbiased sparsity-inducing regularizer, which dynamically adjusts its penalty according to the shape of the estimation error function without inducing bias for the sparse solutions. Computational experiments with benchmark datasets show that the proposed conic formulations are solved fast and result in near-optimal estimators for non-convex L0-problems. Moreover, the resulting estimators also outperform L1 approaches from a statistical perspective, achieving high prediction accuracy and good interpretability.

South China Morning Post published an article on how Singapore’s scientists partner with Chinese peers despite complicated politics. The article included an interview with SMT Assistant Prof Ang Yee Sin and quotes from Associate Provost, Research & International Relations, Prof Yeo Kiat Seng. To read more, click here: https://www.scmp.com/news/china/science/article/3189107/singapores-scientists-partner-chinese-peers-despite-complicated

Yogabrata Datu (Game Lab) – Game Design for Serious Purposes

Our heartfelt congratulations to Dr Kwan Wei Lek, Associate Head of Cluster for Undergraduate Programme and Outreach for the Commendation Medal awarded to him at the National Day Awards 2022.

Innovating our Future with DESIGN x TECH

Book Launch of Dr Sandeep Ray’s new book: A Flutter in the Colony

Cipta Herwana (Google) – Launching Successful ML Projects in the Real World

Billio Jeverson and Vieri Vincent (SHIELD) – Applied Information Retrieval

Congratulations to Dr Massimiliano Colla and his project team, Team EverGreen with e-Parali, who won first place at the Global Challenge Lab 2022, hosted by Imperial College London.

This virtual entrepreneurship program brings together students and recent university graduates from across the world to form international teams that generate solutions to achieve the United Nations Sustainable Development Goals. This year’s event focused on Goal 13, Climate Action.

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