Stochastic Flows and Geometric Optimization on the Orthogonal Group. - Krzysztof Choromanski; David Cheikhi; Jared Davis; Valerii Likhosherstov; Achille Nazaret; Achraf Bahamou; Xingyou Song; Mrugank Akarte; Jack Parker-Holder; Jacob Bergquist; Yuan Gao 038; Aldo Pacchiano; et al. (ICML, 2020)

From Average Embeddings To Nearest Neighbor Search. - Alexandr Andoni; David Cheikhi (CoRR, 2021)

On the Statistical Benefits of Temporal Difference Learning. - David Cheikhi; Daniel Russo 001 (ICML, 2023)

On the Limited Representational Power of Value Functions and its Links to Statistical (In)Efficiency. - David Cheikhi; Daniel Russo 001 (CoRR, 2024)