Nicolò Colombo

According to our database, Nicolò Colombo authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On training locally adaptive CP.

Nicolò Colombo

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2021

Differentiable Architecture Pruning for Transfer Learning.

Nicolò Colombo, Yang Gao

CoRR, 2021

Adapting by Pruning: A Case Study on BERT.

Yang Gao, Nicolò Colombo, Wei Wang

CoRR, 2021

2020

Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification.

Nicolò Colombo, Yang Gao

CoRR, 2020

Multiple Metric Learning for Structured Data.

Nicolò Colombo

CoRR, 2020

Training conformal predictors.

Nicolò Colombo, Vladimir Vovk

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Counterfactual Distribution Regression for Structured Inference.

Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton

CoRR, 2019

2018

Bayesian Semi-supervised Learning with Graph Gaussian Processes.

Yin Cheng Ng, Nicolò Colombo, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Tomography of the London Underground: a Scalable Model for Origin-Destination Data.

Nicolò Colombo, Ricardo Silva, Soong Moon Kang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Experimental design trade-offs for gene regulatory network inference: An in silico study of the yeast Saccharomyces cerevisiae cell cycle.

Johan Markdahl, Nicolò Colombo, Johan Thunberg, Jorge M. Goncalves

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Approximate Joint Matrix Triangularization.

Nicolò Colombo, Nikos Vlassis

CoRR, 2016

A posteriori error bounds for joint matrix decomposition problems.

Nicolò Colombo, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Tensor Decomposition via Joint Matrix Schur Decomposition.

Nicolò Colombo, Nikos Vlassis

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

FastMotif: spectral sequence motif discovery.

Nicolò Colombo, Nikos Vlassis

Bioinform., 2015

Stable Spectral Learning Based on Schur Decomposition.

Nicolò Colombo, Nikos Vlassis

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Spectral Sequence Motif Discovery.

Nicolò Colombo, Nikos Vlassis

CoRR, 2014