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Nicolò Colombo

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2020 – today

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2021
[i8]
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  - journals/corr/abs-2105-03343
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Yang Gao, Nicolò Colombo, Wei Wang:
Adapting by Pruning: A Case Study on BERT. CoRR abs/2105.03343 (2021)
[i7]
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  - journals/corr/abs-2107-03375
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Nicolò Colombo, Yang Gao:
Differentiable Architecture Pruning for Transfer Learning. CoRR abs/2107.03375 (2021)
2020
[c7]
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  - conf/copa/ColomboV20
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Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. COPA 2020: 55-64
[i6]
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  - journals/corr/abs-2002-05747
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Nicolò Colombo:
Multiple Metric Learning for Structured Data. CoRR abs/2002.05747 (2020)
[i5]
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  - journals/corr/abs-2005-07037
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Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. CoRR abs/2005.07037 (2020)
[i4]
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  - journals/corr/abs-2009-05346
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Nicolò Colombo, Yang Gao:
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification. CoRR abs/2009.05346 (2020)

2010 – 2019

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2019
[i3]
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  - journals/corr/abs-1908-07193
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Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton:
Counterfactual Distribution Regression for Structured Inference. CoRR abs/1908.07193 (2019)
2018
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  - conf/nips/NgCS18
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Yin Cheng Ng, Nicolò Colombo, Ricardo Silva:
Bayesian Semi-supervised Learning with Graph Gaussian Processes. NeurIPS 2018: 1690-1701
2017
[c5]
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  - conf/cdc/MarkdahlCTG17
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Johan Markdahl, Nicolò Colombo, Johan Thunberg, Jorge M. Goncalves:
Experimental design trade-offs for gene regulatory network inference: An in silico study of the yeast Saccharomyces cerevisiae cell cycle. CDC 2017: 423-428
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Nicolò Colombo, Ricardo Silva, Soong Moon Kang:
Tomography of the London Underground: a Scalable Model for Origin-Destination Data. NIPS 2017: 3062-3073
2016
[c3]
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Nicolò Colombo, Nikos Vlassis:
Tensor Decomposition via Joint Matrix Schur Decomposition. ICML 2016: 2820-2828
[c2]
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Nicolò Colombo, Nikos Vlassis:
A posteriori error bounds for joint matrix decomposition problems. NIPS 2016: 4943-4950
[i2]
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Nicolò Colombo, Nikos Vlassis:
Approximate Joint Matrix Triangularization. CoRR abs/1607.00514 (2016)
2015
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  - journals/bioinformatics/ColomboV15
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Nicolò Colombo, Nikos Vlassis:
FastMotif: spectral sequence motif discovery. Bioinform. 31(16): 2623-2631 (2015)
[c1]
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Nicolò Colombo, Nikos Vlassis:
Stable Spectral Learning Based on Schur Decomposition. UAI 2015: 220-227
2014
[i1]
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  - journals/corr/ColomboV14
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Nicolò Colombo, Nikos Vlassis:
Spectral Sequence Motif Discovery. CoRR abs/1407.6125 (2014)

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