Vasilis Pollatos

According to our database, Vasilis Pollatos authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback.

Anas Barakat, Andreas Kontogiannis, Vasilis Pollatos, Ioannis Panageas, Antonios Varvitsiotis

CoRR, May, 2026

The Computational Complexity of Avoiding Strict Saddle Points in Constrained Optimization.

Andreas Kontogiannis, Ioannis Panageas, Vasilis Pollatos

CoRR, April, 2026

Efficient Swap Regret Minimization in Combinatorial Bandits.

Andreas Kontogiannis, Vasilis Pollatos, Panayotis Mertikopoulos, Ioannis Panageas

CoRR, February, 2026

2025

Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games.

Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina, Panayotis Mertikopoulos, Ioannis Panageas

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

On Corruption-Robustness in Performative Reinforcement Learning.

Vasilis Pollatos, Debmalya Mandal, Goran Radanovic

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

The Computational Complexity of Finding Second-Order Stationary Points.

Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Tree-based Focused Web Crawling with Reinforcement Learning.

Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos, Georgios Paliouras, George Giannakopoulos

CoRR, 2021

2020

Land Cover Semantic Segmentation Using ResUNet.

Vasilis Pollatos, Loukas Kouvaras, Eleni Charou

Proceedings of the Workshops of the 11th EETN Conference on Artificial Intelligence 2020 co-located with the 11th EETN Conference on Artificial Intelligence (SETN 2020), 2020