Alejandro Ribeiro

22

Papers

107

Total Citations

Papers (22)

Approximate Supermodularity Bounds for Experimental Design

NeurIPS 2017arXiv

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy

NeurIPS 2016arXiv

First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization

NeurIPS 2017arXiv

Learning Efficient Positional Encodings with Graph Neural Networks

Composition and Alignment of Diffusion Models using Constrained Learning

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Loss Shaping Constraints for Long-Term Time Series Forecasting

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks

A Lagrangian Duality Approach to Active Learning

Explainable Brain Age Prediction using coVariance Neural Networks

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs

Resilient Constrained Learning

Hessian Aided Policy Gradient

Stability of Graph Scattering Transforms

Constrained Reinforcement Learning Has Zero Duality Gap

Sinkhorn Barycenter via Functional Gradient Descent

Sinkhorn Natural Gradient for Generative Models

Graphon Neural Networks and the Transferability of Graph Neural Networks

Probably Approximately Correct Constrained Learning

Adversarial Robustness with Semi-Infinite Constrained Learning

coVariance Neural Networks