Trillos, Nicolás García

11 publications

JMLR 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski

JMLR 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning Through Consensus-Based Optimization José A. Carrillo, Nicolás García Trillos, Sixu Li, Yuhua Zhu

JMLR 2024 Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy

ICMLW 2024 The Optimization Landscape of Spectral Neural Network Chenghui Li, Rishi Sonthalia, Nicolas Garcia Trillos

JMLR 2023 Large Sample Spectral Analysis of Graph-Based Multi-Manifold Clustering Nicolas Garcia Trillos, Pengfei He, Chenghui Li

JMLR 2023 The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification Nicolás García Trillos, Matt Jacobs, Jakwang Kim

JMLR 2022 Adversarial Classification: Necessary Conditions and Geometric Flows Nicolás García Trillos, Ryan Murray

JMLR 2021 Geometric Structure of Graph Laplacian Embeddings Nicolás García Trillos, Franca Hoffmann, Bamdad Hosseini

JMLR 2020 On the Consistency of Graph-Based Bayesian Semi-Supervised Learning and the Scalability of Sampling Algorithms Nicolas Garcia Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso

JMLR 2019 Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang

JMLR 2016 Consistency of Cheeger and Ratio Graph Cuts Nicolás García Trillos, Dejan Slepčev, James von Brecht, Thomas Laurent, Xavier Bresson