Nikos Vlassis

Computer Science · Physical Sciences

41h-index10.0kcitations189works1.02yr avg
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Research Topics

Reinforcement Learning in Robotics(38), Bayesian Methods and Mixture Models(24), Robotics and Sensor-Based Localization(15), Game Theory and Applications(15), Machine Learning and Algorithms(15)

Publications189 total

AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning
arXiv (Cornell University)·2025Open Access
Distributional Off-Policy Evaluation for Slate Recommendations
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 2 citedOpen Access
Distributional Off-Policy Evaluation for Slate Recommendations
arXiv (Cornell University)·2023Open Access
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
arXiv (Cornell University)·2023· 1 citedOpen Access
Local Policy Improvement for Recommender Systems
arXiv (Cornell University)·2022Open Access
Control Variates for Slate Off-Policy Evaluation
arXiv (Cornell University)·2021· 1 citedOpen Access
Sequential causal inference in a single world of connected units
arXiv (Cornell University)·2021· 4 citedOpen Access
Off-Policy Evaluation of Slate Policies under Bayes Risk
arXiv (Cornell University)·2021· 1 citedOpen Access
On Proximal Causal Learning with Many Hidden Confounders
arXiv (Cornell University)·2020· 1 citedOpen Access
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
arXiv (Cornell University)·2019· 17 citedOpen Access
More Efficient Off-Policy Evaluation through Regularized Targeted\n Learning
arXiv (Cornell University)·2019· 3 citedOpen Access
Marginal Posterior Sampling for Slate Bandits
2019· 11 citedOpen Access
On the Design of Estimators for Bandit Off-Policy Evaluation
International Conference on Machine Learning·2019· 17 cited
Optimizing over a Restricted Policy Class in MDPs
2019· 3 cited
Capacity-aware Sequential Recommendations
2018· 6 citedOpen Access
Optimizing over a Restricted Policy Class in Markov Decision Processes
arXiv (Cornell University)·2018· 3 citedOpen Access
Scalar Posterior Sampling with Applications
Neural Information Processing Systems·2018· 4 cited
Posterior Sampling for Large Scale Reinforcement Learning
arXiv (Cornell University)·2017· 19 citedOpen Access
An Interactive Points of Interest Guidance System
2017· 9 cited
Does Weather Matter? Causal Analysis of TV Logs
arXiv (Cornell University)·2017Open Access
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Frequent Co-authors

Ben Kröse(11), Jakob Verbeek(8), Jelle R. Kok(7), Matthijs T. J. Spaan(6), Paul Wilmes(4), Pascal Poupart(4), R. Bunschoten(4), Yoichi Motomura(4), Aristidis Likas(3), Cédric C. Laczny(3), Frans A. Oliehoek(3), Bram Bakker(2), Hideki Asoh(2), F. Asano(2), Isao Hara(2), Satoru Hayamizu(2), K. Itou(2), Takio Kurita(2), Toshihiro Matsui(2), Emilie Muller(2)