Admissible Policy Teaching through Reward Design. - Kiarash Banihashem; Adish Singla; Jiarui Gan; Goran Radanovic (AAAI, 2022)

Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. - Mazda Moayeri; Kiarash Banihashem; Soheil Feizi (NeurIPS, 2022)

Optimal Sparse Recovery with Decision Stumps. - Kiarash Banihashem; Mohammad Hajiaghayi; Max Springer (AAAI, 2023)

Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. - Kiarash Banihashem; Leyla Biabani; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh (ICML, 2023)

Run-off Election: Improved Provable Defense against Data Poisoning Attacks. - Keivan Rezaei; Kiarash Banihashem; Atoosa Malemir Chegini; Soheil Feizi (ICML, 2023)

Dynamic Non-monotone Submodular Maximization. - Kiarash Banihashem; Leyla Biabani; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh (NeurIPS, 2023)

Bandit Social Learning under Myopic Behavior. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Suho Shin 001; Aleksandrs Slivkins (NeurIPS, 2023)

An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Suho Shin 001; Max Springer (NeurIPS, 2023)

Bandit Social Learning: Exploration under Myopic Behavior. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Suho Shin 001; Aleksandrs Slivkins (CoRR, 2023)

Defense Against Reward Poisoning Attacks in Reinforcement Learning. - Kiarash Banihashem; Adish Singla; Goran Radanovic (Trans. Mach. Learn. Res., 2023)

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 (ICML, 2024)

Dynamic Algorithms for Matroid Submodular Maximization. - Kiarash Banihashem; Leyla Biabani; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh (SODA, 2024)

Power of Posted-price Mechanisms for Prophet Inequalities. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Dariusz R. Kowalski; Piotr Krysta; Jan Olkowski (SODA, 2024)

Dynamic Metric Embedding into ℓp Space. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Dariusz R. Kowalski; Jan Olkowski; Max Springer (CoRR, 2024)

Bi-Criteria Metric Distortion. - Kiarash Banihashem; Diptarka Chakraborty; Shayan Chashm Jahan; Iman Gholami; MohammadTaghi Hajiaghayi; Mohammad Mahdavi; Max Springer (CoRR, 2024)

Dynamic Algorithms for Submodular Matching. - Kiarash Banihashem; Leyla Biabani; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh (ICALP, 2025)

How Bad Is Forming Your Own Multidimensional Opinion? - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Mahdi JafariRaviz; Danny Mittal; Alipasha Montaseri (EC, 2025)

Delegated Choice with Combinatorial Constraints. - Kiarash Banihashem; Mohammad Taghi Hajiaghayi; Piotr Krysta; Suho Shin 001 (EC, 2025)

Beating Competitive Ratio 4 for Graphic Matroid Secretary. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Dariusz R. Kowalski; Piotr Krysta; Danny Mittal; Jan Olkowski (CoRR, 2025)

Pandora with Inaccurate Priors. - Kiarash Banihashem; Xiang Chen; MohammadTaghi Hajiaghayi; Sungchul Kim; Kanak Mahadik; Ryan A. Rossi; Tong Yu 001 (CoRR, 2025)