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ORCIDKiarash Banihashem
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2020 – today
- 2024
[c12]Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
A Dynamic Algorithm for Weighted Submodular Cover Problem. ICML 2024- [c11]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz Rafal Kowalski, Jan Olkowski, Max Springer:
Dynamic Metric Embedding into lp Space. ICML 2024 - [c10]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Algorithms for Matroid Submodular Maximization. SODA 2024: 3485-3533 - [c9]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski:
Power of Posted-price Mechanisms for Prophet Inequalities. SODA 2024: 4580-4604 - [i13]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz R. Kowalski, Jan Olkowski, Max Springer:
Dynamic Metric Embedding into ℓp Space. CoRR abs/2406.17210 (2024) - [i12]Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
A Dynamic Algorithm for Weighted Submodular Cover Problem. CoRR abs/2407.10003 (2024) - [i11]Kiarash Banihashem, Diptarka Chakraborty, Shayan Chashm Jahan, Iman Gholami, MohammadTaghi Hajiaghayi, Mohammad Mahdavi, Max Springer:
Bi-Criteria Metric Distortion. CoRR abs/2412.10671 (2024) - 2023
- [j1]Kiarash Banihashem, Adish Singla, Goran Radanovic:
Defense Against Reward Poisoning Attacks in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer:
Optimal Sparse Recovery with Decision Stumps. AAAI 2023: 6745-6752 - [c7]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. ICML 2023: 1660-1691 - [c6]Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi:
Run-off Election: Improved Provable Defense against Data Poisoning Attacks. ICML 2023: 29030-29050 - [c5]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Non-monotone Submodular Maximization. NeurIPS 2023 - [c4]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins:
Bandit Social Learning under Myopic Behavior. NeurIPS 2023 - [c3]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer:
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. NeurIPS 2023 - [i10]Keivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi:
Run-Off Election: Improved Provable Defense against Data Poisoning Attacks. CoRR abs/2302.02300 (2023) - [i9]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins:
Bandit Social Learning: Exploration under Myopic Behavior. CoRR abs/2302.07425 (2023) - [i8]Kiarash Banihashem, MohammadTaghi Hajiaghayi, Max Springer:
Optimal Sparse Recovery with Decision Stumps. CoRR abs/2303.04301 (2023) - [i7]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time. CoRR abs/2305.15192 (2023) - [i6]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Algorithms for Matroid Submodular Maximization. CoRR abs/2306.00959 (2023) - [i5]Kiarash Banihashem, Mohammad Taghi Hajiaghayi, Suho Shin, Max Springer:
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. CoRR abs/2310.19025 (2023) - [i4]Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Non-monotone Submodular Maximization. CoRR abs/2311.03685 (2023) - 2022
- [c2]Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic:
Admissible Policy Teaching through Reward Design. AAAI 2022: 6037-6045 - [c1]Mazda Moayeri, Kiarash Banihashem, Soheil Feizi:
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. NeurIPS 2022 - [i3]Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic:
Admissible Policy Teaching through Reward Design. CoRR abs/2201.02185 (2022) - [i2]Mazda Moayeri, Kiarash Banihashem, Soheil Feizi:
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. CoRR abs/2209.07592 (2022) - 2021
- [i1]Kiarash Banihashem, Adish Singla, Goran Radanovic:
Defense Against Reward Poisoning Attacks in Reinforcement Learning. CoRR abs/2102.05776 (2021)
Coauthor Index
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