Online Matching with General Arrivals. - Buddhima Gamlath; Michael Kapralov; Andreas Maggiori; Ola Svensson; David Wajc (FOCS, 2019)

Learning Augmented Energy Minimization via Speed Scaling. - Étienne Bamas; Andreas Maggiori; Lars Rohwedder; Ola Svensson (NeurIPS, 2020)

The Primal-Dual method for Learning Augmented Algorithms. - Étienne Bamas; Andreas Maggiori; Ola Svensson (NeurIPS, 2020)

Online and Consistent Correlation Clustering. - Vincent Cohen-Addad; Silvio Lattanzi; Andreas Maggiori; Nikos Parotsidis (ICML, 2022)

An Improved Analysis of Greedy for Online Steiner Forest. - Étienne Bamas; Marina Drygala; Andreas Maggiori (SODA, 2022)

Dynamic Correlation Clustering in Sublinear Update Time. - Vincent Cohen-Addad; Silvio Lattanzi; Andreas Maggiori; Nikos Parotsidis (ICML, 2024)

Fair Secretaries with Unfair Predictions. - Eric Balkanski; Will Ma; Andreas Maggiori (NeurIPS, 2024)

Cost-Free Fairness in Online Correlation Clustering. - Eric Balkanski; Jason Chatzitheodorou; Andreas Maggiori (ALT, 2025)

Data-Driven Solution Portfolios. - Marina Drygala; Silvio Lattanzi; Andreas Maggiori; Miltiadis Stouras; Ola Svensson; Sergei Vassilvitskii (ITCS, 2025)