Kiarash Banihashem

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Topics

Decision Stumps

Weighting Factor

Eligibility Traces

Greedy Algorithm

Top Venues

Publications

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski
Power of Posted-price Mechanisms for Prophet Inequalities. SODA (2024)
Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
A Dynamic Algorithm for Weighted Submodular Cover Problem. CoRR (2024)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Jan Olkowski, Max Springer
Space. CoRR (2024)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Algorithms for Matroid Submodular Maximization. SODA (2024)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Non-monotone Submodular Maximization. NeurIPS (2023)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. NeurIPS (2023)
Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
Run-Off Election: Improved Provable Defense against Data Poisoning Attacks. CoRR (2023)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
Bandit Social Learning under Myopic Behavior. NeurIPS (2023)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Algorithms for Matroid Submodular Maximization. CoRR (2023)
Kiarash Banihashem, Mohammad Taghi Hajiaghayi, Suho Shin, Max Springer
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. CoRR (2023)
Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
Run-off Election: Improved Provable Defense against Data Poisoning Attacks. ICML (2023)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Max Springer
Optimal Sparse Recovery with Decision Stumps. CoRR (2023)
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
Bandit Social Learning: Exploration under Myopic Behavior. CoRR (2023)
Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer
Optimal Sparse Recovery with Decision Stumps. AAAI (2023)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. CoRR (2023)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Non-monotone Submodular Maximization. CoRR (2023)
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. ICML (2023)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. AAAI (2022)
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS (2022)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. CoRR (2022)
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR (2022)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. CoRR (2021)