Kiarash Banihashem

According to our database, Kiarash Banihashem authored at least 16 papers between 2022 and 2024.

Collaborative distances:

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

2024

Bi-Criteria Metric Distortion.

Kiarash Banihashem, Diptarka Chakraborty, Shayan Chashm Jahan, Iman Gholami, MohammadTaghi Hajiaghayi, Mohammad Mahdavi, Max Springer

CoRR, 2024

Dynamic Metric Embedding into ℓ_p Space.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Jan Olkowski, Max Springer

CoRR, 2024

Power of Posted-price Mechanisms for Prophet Inequalities.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Dynamic Algorithms for Matroid Submodular Maximization.

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Dynamic Metric Embedding into lp Space.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz Rafal Kowalski, Jan Olkowski, Max Springer

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

A Dynamic Algorithm for Weighted Submodular Cover Problem.

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

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

2023

Defense Against Reward Poisoning Attacks in Reinforcement Learning.

Kiarash Banihashem, Adish Singla, Goran Radanovic

Trans. Mach. Learn. Res., 2023

Bandit Social Learning: Exploration under Myopic Behavior.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins

CoRR, 2023

An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bandit Social Learning under Myopic Behavior.

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Non-monotone Submodular Maximization.

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks.

Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time.

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

Proceedings of the International Conference on Machine Learning, 2023

Optimal Sparse Recovery with Decision Stumps.

Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explicit Tradeoffs between Adversarial and Natural Distributional Robustness.

Mazda Moayeri, Kiarash Banihashem, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Admissible Policy Teaching through Reward Design.

Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022