Cisneros-Velarde, Pedro

8 publications

TMLR 2025 Optimization and Generalization Guarantees for Weight Normalization Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee

ICML 2025 Optimization for Neural Operators Can Benefit from Width Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee

UAI 2023 Finite-Sample Guarantees for Nash Q-Learning with Linear Function Approximation Pedro Cisneros-Velarde, Sanmi Koyejo

UAI 2023 Neural Tangent Kernel at Initialization: Linear Width Suffices Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin

AISTATS 2023 One Policy Is Enough: Parallel Exploration with a Single Policy Is Near-Optimal for Reward-Free Reinforcement Learning Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar

ICLR 2023 Restricted Strong Convexity of Deep Learning Models with Smooth Activations Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Misha Belkin

AISTATS 2022 A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows Pedro Cisneros-Velarde, Francesco Bullo

AISTATS 2020 Distributionally Robust Formulation and Model Selection for the Graphical Lasso Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh