Optimality of the Subgradient Algorithm in the Stochastic Setting. - Daron Anderson; Douglas J. Leith (CoRR, 2019)

Learning The Best Expert Efficiently. - Daron Anderson; Douglas J. Leith (CoRR, 2019)

Universal Algorithms: Beyond the Simplex. - Daron Anderson; Douglas J. Leith (CoRR, 2020)

The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains. - Daron Anderson; Douglas J. Leith (NeurIPS, 2021)

Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users. - Sulthana Shams; Daron Anderson; Douglas J. Leith (SIGIR, 2021)

Lazy Lagrangians with Predictions for Online Learning. - Daron Anderson; George Iosifidis; Douglas J. Leith (CoRR, 2022)

Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique. - Daron Anderson; Douglas J. Leith (J. Mach. Learn. Res., 2022)

Lazy Lagrangians for Optimistic Learning With Budget Constraints. - Daron Anderson; George Iosifidis; Douglas J. Leith (IEEE/ACM Trans. Netw., 2023)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)