Kiarash Banihashem

38 papers A* 17A 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active Learning for Decision Trees with Provable Guarantees.
CoRR
Arshia Soltani Moakhar, Tanapoom Laoaron, Faraz Ghahremani, Kiarash Banihashem, MohammadTaghi Hajiaghayi
2026 J jnl
Bandit Social Learning with Exploration Episodes.
CoRR
Kiarash Banihashem, Natalie Collina, Aleksandrs Slivkins
2026 A* conf
Sample-efficient Replicable Median in Polynomial Time.
SODA
Kiarash Banihashem, MohammadHossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi
2025 A conf
Beating Competitive Ratio 4 for Graphic Matroid Secretary.
ESA
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Danny Mittal, Jan Olkowski
2025 J jnl
Beating Competitive Ratio 4 for Graphic Matroid Secretary.
CoRR
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Danny Mittal, Jan Olkowski
2025 A* conf
Delegated Choice with Combinatorial Constraints.
EC
Kiarash Banihashem, Mohammad Taghi Hajiaghayi, Piotr Krysta, Suho Shin
2025 A* conf
Dynamic Algorithms for Submodular Matching.
ICALP
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2025 J jnl
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond.
CoRR
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2025 A* conf
Fully Dynamic Embedding into ℓp Spaces.
ICML
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
2025 A* conf
How Bad Is Forming Your Own Multidimensional Opinion?
EC
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Danny Mittal, Alipasha Montaseri
2025 J jnl
How Bad Is Forming Your Own Multidimensional Opinion?
CoRR
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Danny Mittal, Alipasha Montaseri
2025 J jnl
Pandora with Inaccurate Priors.
CoRR
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
2024 A* conf
A Dynamic Algorithm for Weighted Submodular Cover Problem.
ICML
Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2024 J jnl
A Dynamic Algorithm for Weighted Submodular Cover Problem.
CoRR
Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2024 J jnl
Bi-Criteria Metric Distortion.
CoRR
Kiarash Banihashem, Diptarka Chakraborty, Shayan Chashm Jahan, Iman Gholami, MohammadTaghi Hajiaghayi, Mohammad Mahdavi, Max Springer
2024 A* conf
Dynamic Algorithms for Matroid Submodular Maximization.
SODA
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2024 A* conf
Dynamic Metric Embedding into lp Space.
ICML
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz Rafal Kowalski, Jan Olkowski, Max Springer
2024 J jnl
Dynamic Metric Embedding into ℓ
CoRR
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Jan Olkowski, Max Springer
2024 A* conf
Power of Posted-price Mechanisms for Prophet Inequalities.
SODA
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski
2023 A* conf
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits.
NeurIPS
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer
2023 J jnl
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits.
CoRR
Kiarash Banihashem, Mohammad Taghi Hajiaghayi, Suho Shin, Max Springer
2023 A* conf
Bandit Social Learning under Myopic Behavior.
NeurIPS
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
2023 J jnl
Bandit Social Learning: Exploration under Myopic Behavior.
CoRR
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
2023 J jnl
Defense Against Reward Poisoning Attacks in Reinforcement Learning.
Trans. Mach. Learn. Res.
Kiarash Banihashem, Adish Singla, Goran Radanovic
2023 J jnl
Dynamic Algorithms for Matroid Submodular Maximization.
CoRR
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2023 A* conf
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time.
ICML
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2023 J jnl
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time.
CoRR
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2023 A* conf
Dynamic Non-monotone Submodular Maximization.
NeurIPS
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2023 J jnl
Dynamic Non-monotone Submodular Maximization.
CoRR
Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
2023 A* conf
Optimal Sparse Recovery with Decision Stumps.
AAAI
Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer
2023 J jnl
Optimal Sparse Recovery with Decision Stumps.
CoRR
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Max Springer
2023 J jnl
Run-Off Election: Improved Provable Defense against Data Poisoning Attacks.
CoRR
Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
2023 A* conf
Run-off Election: Improved Provable Defense against Data Poisoning Attacks.
ICML
Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi
2022 A* conf
Admissible Policy Teaching through Reward Design.
AAAI
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
2022 J jnl
Admissible Policy Teaching through Reward Design.
CoRR
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
2022 A* conf
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness.
NeurIPS
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2022 J jnl
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness.
CoRR
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
2021 J jnl
Defense Against Reward Poisoning Attacks in Reinforcement Learning.
CoRR
Kiarash Banihashem, Adish Singla, Goran Radanovic