<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Daniel Berg Thomsen</title><description>Daniel Berg Thomsen researches distributed optimization and performance estimation as a PhD student at Inria, ENS Paris, and École Polytechnique.</description><link>https://bergthomsen.com/</link><item><title>Finding Simple Proofs for First-Order Optimization</title><link>https://arxiv.org/abs/2607.08753</link><guid isPermaLink="true">https://arxiv.org/abs/2607.08753</guid><description>Daniel Berg Thomsen, Manu Upadhyaya, Baptiste Goujaud, Aymeric Dieuleveut, Adrien Taylor. arXiv:2607.08753.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>An optimal first-order method for smooth and strongly convex composite optimization and its stationary limit</title><link>https://arxiv.org/abs/2605.22929</link><guid isPermaLink="true">https://arxiv.org/abs/2605.22929</guid><description>Manu Upadhyaya, Daniel Berg Thomsen, Aymeric Dieuleveut, Adrien B. Taylor. arXiv:2605.22929.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate></item><item><title>A Tight Theory of Error Feedback Algorithms in Distributed Optimization</title><link>https://arxiv.org/abs/2605.31594</link><guid isPermaLink="true">https://arxiv.org/abs/2605.31594</guid><description>Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut. ICML.</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate></item><item><title>Tight analyses of first-order methods with error feedback</title><link>https://arxiv.org/abs/2506.05271</link><guid isPermaLink="true">https://arxiv.org/abs/2506.05271</guid><description>Daniel Berg Thomsen, Adrien Taylor, Aymeric Dieuleveut. NeurIPS.</description><pubDate>Thu, 05 Jun 2025 00:00:00 GMT</pubDate></item><item><title>Complexity of Minimizing Regularized Convex Quadratic Functions</title><link>https://arxiv.org/abs/2404.17543</link><guid isPermaLink="true">https://arxiv.org/abs/2404.17543</guid><description>Daniel Berg Thomsen, Nikita Doikov. SIAM Jornal on Optimization.</description><pubDate>Fri, 26 Apr 2024 00:00:00 GMT</pubDate></item></channel></rss>