Omar Rivasplata

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Upper And Lower Bounds

Generalization Bounds

Top Venues

Trans. Mach. Learn. Res.

Publications

Sokhna Diarra Mbacke, Omar Rivasplata
A Note on the Convergence of Denoising Diffusion Probabilistic Models. Trans. Mach. Learn. Res. 2024 (2024)
Borja Rodríguez Gálvez, Omar Rivasplata, Ragnar Thobaben, Mikael Skoglund
A note on generalization bounds for losses with finite moments. CoRR (2024)
Sokhna Diarra Mbacke, Omar Rivasplata
A Note on the Convergence of Denoising Diffusion Probabilistic Models. CoRR (2023)
Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues
Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR (2022)
Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen Triki, Razvan Pascanu
On the Role of Optimization in Double Descent: A Least Squares Study. CoRR (2021)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses. Entropy 23 (10) (2021)
María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler
Learning PAC-Bayes Priors for Probabilistic Neural Networks. CoRR (2021)
Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu
On the Role of Optimization in Double Descent: A Least Squares Study. NeurIPS (2021)
María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor
Progress in Self-Certified Neural Networks. CoRR (2021)
Laurent Orseau, Marcus Hutter, Omar Rivasplata
Logarithmic Pruning is All You Need. NeurIPS (2020)
Laurent Orseau, Marcus Hutter, Omar Rivasplata
Logarithmic Pruning is All You Need. CoRR (2020)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
Upper and Lower Bounds on the Performance of Kernel PCA. CoRR (2020)
Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor
PAC-Bayes Analysis Beyond the Usual Bounds. CoRR (2020)
María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor, Csaba Szepesvári
Tighter risk certificates for neural networks. CoRR (2020)
Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor
PAC-Bayes Analysis Beyond the Usual Bounds. NeurIPS (2020)
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor
PAC-Bayes unleashed: generalisation bounds with unbounded losses. CoRR (2020)
Omar Rivasplata, Vikram M. Tankasali, Csaba Szepesvári
PAC-Bayes with Backprop. CoRR (2019)
Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvári
PAC-Bayes bounds for stable algorithms with instance-dependent priors. CoRR (2018)
Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun
PAC-Bayes bounds for stable algorithms with instance-dependent priors. NeurIPS (2018)