Pedro Cisneros-Velarde
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Keyword Collector
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Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Optimization
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Methods
(2)
Architectures
(1)
Core Methods
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
restricted strong convexity
(2)
large language model
(2)
gradient descent
(2)
reinforcement learning
(1)
nash equilibrium
(1)
distributionally robust optimization
(1)
model selection
(1)
linear function approximation
(1)
markov game
(1)
graphical lasso
(1)
smoothness
(1)
inverse covariance estimation
(1)
optimization algorithm
(1)
geometric convergence
(1)
adversarial attack
(1)
contraction theory
(1)
convergence guarantee
(1)
linear mdp
(1)
benchmark evaluation
(1)
neural tangent kernel
(1)
Papers
Policy Compliance of User Requests in Natural Language for AI Systems
ACL 2026
Biases in Opinion Dynamics in Multi-Agent Systems of Large Language Models: A Case Study on Funding Allocation
NAACL 2025
Optimization for Neural Operators can Benefit from Width
ICML 2025
Using Humor to Bypass Safety Guardrails in Large Language Models
ACL 2025
Finite-sample guarantees for Nash Q-learning with linear function approximation
UAI 2023
Neural tangent kernel at initialization: linear width suffices
UAI 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
AISTATS 2023
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
ICLR 2023
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
AISTATS 2022
Distributionally Robust Formulation and Model Selection for the Graphical Lasso
AISTATS 2020