Pedro Cisneros-Velarde
10 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (4)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
Conferences
AISTATS (3)
ACL (2)
UAI (2)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
large language model
(2)
reinforcement learning
(1)
reward-free exploration
(1)
model selection
(1)
nash equilibrium
(1)
contraction theory
(1)
linear function approximation
(1)
graphical lasso
(1)
inverse covariance estimation
(1)
distributionally robust optimization
(1)
adversarial attack
(1)
optimization algorithm
(1)
linear mdp
(1)
markov game
(1)
benchmark evaluation
(1)
adversarial prompt
(1)
exponential convergence
(1)
prompt injection
(1)
nesterov acceleration
(1)
neural tangent kernel
(1)
Papers
Policy Compliance of User Requests in Natural Language for AI Systems
ACL 2026
Optimization for Neural Operators can Benefit from Width
ICML 2025
Using Humor to Bypass Safety Guardrails in Large Language Models
ACL 2025
Biases in Opinion Dynamics in Multi-Agent Systems of Large Language Models: A Case Study on Funding Allocation
NAACL 2025
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
ICLR 2023
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
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
AISTATS 2022
Distributionally Robust Formulation and Model Selection for the Graphical Lasso
AISTATS 2020