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Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms

Neural Information Processing Systems

Coupled norms have emerged as a convex method to solve coupled tensor completion. A limitation with coupled norms is that they only induce low-rankness using the multilinear rank of coupled tensors. In this paper, we introduce a new set of coupled norms known as coupled nuclear norms by constraining the CP rank of coupled tensors. We propose new coupled completion models using the coupled nuclear norms as regularizers, which can be optimized using computationally efficient optimization methods. We derive excess risk bounds for proposed coupled completion models and show that proposed norms lead to better performance. Through simulation and real-data experiments, we demonstrate that proposed norms achieve better performance for coupled completion compared to existing coupled norms.




Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization James Oldfield

Neural Information Processing Systems

An important corollary of successful task decomposition amongst experts is that layers are easier to debug and edit. Biased or unsafe behaviors can be better localized to specific experts' subcomputation, facilitating manual correction or surgery in a way that minimally affects the other functionality of the network. Addressing such behaviors is particularly crucial in the context of foundation models; being often fine-tuned as black boxes pre-trained on unknown, potentially imbalanced data distributions.


Eusebio: Between colonialism and football

Al Jazeera

Game Theory: What connects Eusebio, football, and colonialism? It's been 60 years since Eusebio lifted the Ballon d'Or, becoming the first Black player to win football's highest individual honour. But beyond the brilliance, his journey was shaped by colonial forces far bigger than football. Samantha Johnson explores the side to Eusebio's legacy that many may have missed out. Why does Israel play in European Football? What's behind bans on away fans?


EU moves to ease AI, privacy rules amid pressure from Big Tech, Trump

Al Jazeera

The reforms, which amend the AI Act and several other privacy and tech-related laws, would also cut back on website pop-ups asking permission to use cookies and reduce documentation requirements for small and medium-sized businesses. EU tech chief Henna Virkkunen said the changes, which need to be approved by representatives of the 27 EU member states, would boost European competitiveness by simplifying rules about AI, cybersecurity and data protection. "We have talent, infrastructure, a large internal single market. But our companies, especially our start-ups and small businesses, are often held back by layers of rigid rules," Virkkunen said. Lobby groups for tech giants in the United States, where President Donald Trump's administration has been a vocal critic of Europe's regulatory approach, welcomed the move, while lamenting that the measures did not go far enough.




A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers

Neural Information Processing Systems

HTTP/3 is a new application layer protocol supported by most browsers. It uses QUIC as an underlying transport protocol. QUIC provides multiple benefits, like faster connection establishment, reduced latency, and improved connection migration.