Banihashem, Kiarash

16 publications

NeurIPS 2025 Dynamic Diameter in High-Dimensions Against Adaptive Adversary and Beyond Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

NeurIPS 2025 Fair Matroid Selection Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal

ICML 2025 Fully Dynamic Embedding into $\ell_p$ Spaces Kiarash Banihashem, Xiang Chen, Mohammadtaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu

NeurIPS 2025 Non-Monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

NeurIPS 2025 Replicable Online Pricing Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi

ICML 2024 A Dynamic Algorithm for Weighted Submodular Cover Problem Kiarash Banihashem, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

ICML 2024 Dynamic Metric Embedding into Lp Space Kiarash Banihashem, Mohammadtaghi Hajiaghayi, Dariusz Rafal Kowalski, Jan Olkowski, Max Springer

NeurIPS 2023 An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer

NeurIPS 2023 Bandit Social Learning Under Myopic Behavior Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins

TMLR 2023 Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem, Adish Singla, Goran Radanovic

ICML 2023 Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

NeurIPS 2023 Dynamic Non-Monotone Submodular Maximization Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

AAAI 2023 Optimal Sparse Recovery with Decision Stumps Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer

ICML 2023 Run-Off Election: Improved Provable Defense Against Data Poisoning Attacks Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi

AAAI 2022 Admissible Policy Teaching Through Reward Design Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

NeurIPS 2022 Explicit Tradeoffs Between Adversarial and Natural Distributional Robustness Mazda Moayeri, Kiarash Banihashem, Soheil Feizi