Miguel Á. Carreira-Perpiñán
24 papers · 1999–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Miguel Á. Carreira-Perpiñán?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Magzhan Gabidolla, Arman Zharmagambetov
6 papers
· 2021–2025
· ICML, CVPR, NeurIPS
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Generalized additive models via direct optimization of regularized decision stump forests
ICML 2025
Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
ICML 2024
Towards Better Decision Forests: Forest Alternating Optimization
CVPR 2023
Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees
CVPR 2022
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
NeurIPS 2022
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large
EMNLP 2021
5 papers whose co-authors appear nowhere else under this name
The tree autoencoder model, with application to hierarchical data visualization
NeurIPS 2024
Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings
AISTATS 2022
Alternating optimization of decision trees, with application to learning sparse oblique trees
NeurIPS 2018
A fast, universal algorithm to learn parametric nonlinear embeddings
NeurIPS 2015
Non-rigid point set registration: Coherent Point Drift
NeurIPS 2006