Mahnoosh Alizadeh
13 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Mathematics & Optimization
(11)
Optimization
(11)
Machine Learning
(9)
Learning Types
(7)
Optimization & Theory
(7)
Artificial Intelligence
(4)
Application Areas
(3)
Core AI
(3)
Natural Language Processing
(2)
Learning Paradigms Β· Machine Learning
(2)
Resources & Methods
(2)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Keywords
regret bound
(7)
multi-armed bandit
(4)
safety constraint
(3)
stochastic optimization
(2)
sublinear regret
(2)
online convex optimization
(2)
safe optimization
(2)
parameter-efficient fine-tuning
(2)
constraint violation
(2)
large language model
(2)
federated learning
(2)
linear bandit
(2)
linear programming
(1)
parameter selection
(1)
receding horizon control
(1)
constraint satisfaction
(1)
feature selection
(1)
gaussian process
(1)
thompson sampling
(1)
regret minimization
(1)
Papers
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
ACL 2025
Constrained Online Convex Optimization with Polyak Feasibility Steps
ICML 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
ACL 2025
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
AISTATS 2025
Directional Optimism for Safe Linear Bandits
AISTATS 2024
Safe dynamic pricing for nonstationary network resource allocation
L4DC 2024
Safe online convex optimization with multi-point feedback
L4DC 2024
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback
L4DC 2023
Feature and Parameter Selection in Stochastic Linear Bandits
ICML 2022
Regret Bound for Safe Gaussian Process Bandit Optimization
L4DC 2020
Stage-wise Conservative Linear Bandits
NeurIPS 2020
Linear Stochastic Bandits Under Safety Constraints
NeurIPS 2019
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms
RSS 2018