Nicklas Werge

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Stationary Points

Asymptotic Analysis

Reinforcement Learning

Top Venues

Expert Syst. Appl.

Trans. Mach. Learn. Res.

Publications

Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir
Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning. CoRR (2024)
Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir
Probabilistic Actor-Critic: Learning to Explore with PAC-Bayes Uncertainty. CoRR (2024)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Learning from time-dependent streaming data with online stochastic algorithms. Trans. Mach. Learn. Res. 2023 (2023)
Aritra Dutta, El Houcine Bergou, Soumia Boucherouite, Nicklas Werge, Melih Kandemir, Xin Li
Demystifying the Myths and Legends of Nonconvex Convergence of SGD. CoRR (2023)
Nicklas Werge, Abdullah Akgül, Melih Kandemir
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits. CoRR (2023)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Learning from time-dependent streaming data with online stochastic algorithms. CoRR (2022)
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. CoRR (2021)
Nicklas Werge
Predicting Risk-adjusted Returns using an Asset Independent Regime-switching Model. CoRR (2021)
Nicklas Werge
Predicting risk-adjusted returns using an asset independent regime-switching model. Expert Syst. Appl. 184 (2021)