Seven papers authored by Computer Science researchers from Warwick have been accepted for publication at the 37th Conference on Neural Information Processing Systems, the leading international venue for machine learning research, which will be held on 10-16 December 2023 in New Orleans, Louisiana, USA:

• EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras, by Guangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen, Hongkai Wen, and Guohao Lan
• Fully Dynamic k-Clustering in Õ(k) Update Time, by Sayan Bhattacharya, Martin Costa, Silvio Lattanzi, and Nikos Parotsidis
• Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks, by Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, and Volkan Cevher
• Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs, by Dmitry Chistikov, Matthias Englert, and Ranko Lazic
• On the Convergence of Shallow Transformers, by Yongtao Wu, Fanghui Liu, Grigorios Chrysos, and Volkan Cevher
• Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? by Hoang Pham, The Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, and Long Tran-Thanh
• Towards Unbounded Machine Unlearning, by Meghdad Kurmanji, Peter Triantafillou, and Eleni Triantafillou

We are delighted to announce that Peter Kiss, a PhD student in the Theory and Foundations Research Division, has received the best student paper award at European Symposium on Algorithms (ESA) 2023, for his joint work with Joakim Bilkstad for the paper: "Incremental (1-eps)-approximate dynamic matching in O(poly(1/eps)) update time". The paper considers the problem of maintaining a large matching in a graph that is undergoing a sequence of edge insertions. They present an algorithm for this fundamental problem in dynamic graph algorithms, which has near-optimal approximation ratio and an update time that does not grow at all with the size of the input and is also polynomial in 1/\eps (the error parameter). In addition, their approach is simpler than previous algorithms on the same problem that achieved weaker guarantees.

Five papers from the Theory and Foundations (FoCS) Research Group and the Centre for Discrete Mathematics and its Applications (DIMAP) have been accepted to the 64th IEEE Symposium on Foundations of Computer Science (FOCS 2023), the IEEE flagship conference in theoretical computer science that will be held on November 6 - 9, 2023 in Santa Cruz, California, USA:

• "Chasing positive bodies" by Sayan Bhattacharya, Niv Buchbinder, Roie Levin, and Thatchaphol Saranurak.
• "Dynamic (1+epsilon)-approximate matching size in truly sublinear update time" by Sayan Bhattacharya, Peter Kiss, and Thatchaphol Saranurak.
• "Polynomial-time pseudodeterministic construction of primes" by Lijie Chen, Zhenjian Lu, Igor C. Oliveira, Hanlin Ren, and Rahul Santhanam.
• "Approximating edit distance in the fully dynamic model" by Tomasz Kociumaka, Anish Mukherjee, and Barna Saha.
• "Traversing combinatorial 0/1-polytopes via optimization" by Arturo Merino and Torsten Mütze.