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04/04/2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
We use information-theoretic tools to derive a novel analysis of Multi-s...
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10/18/2022
Generalization Properties of Decision Trees on Real-valued and Categorical Features
We revisit binary decision trees from the perspective of partitions of t...
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10/29/2021
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion
We significantly improve the generalization bounds for VC classes by usi...
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10/26/2021
Partial order: Finding Consensus among Uncertain Feature Attributions
Post-hoc feature importance is progressively being employed to explain d...
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09/29/2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
We derive a novel information-theoretic analysis of the generalization p...
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10/14/2020
Decision trees as partitioning machines to characterize their generalization properties
Decision trees are popular machine learning models that are simple to bu...
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05/28/2019
Adaptive Deep Kernel Learning
Deep kernel learning provides an elegant and principled framework for co...
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05/28/2015
Domain-Adversarial Training of Neural Networks
We introduce a new representation learning approach for domain adaptatio...
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05/22/2015
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance
The Set Covering Machine (SCM) is a greedy learning algorithm that produ...
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03/28/2015
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
We propose an extensive analysis of the behavior of majority votes in bi...
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12/15/2014
Domain-Adversarial Neural Networks
We introduce a new representation learning algorithm suited to the conte...
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12/02/2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
The increased affordability of whole genome sequencing has motivated its...
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02/04/2014
Sequential Model-Based Ensemble Optimization
One of the most tedious tasks in the application of machine learning is ...
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07/31/2012
Learning a peptide-protein binding affinity predictor with kernel ridge regression
We propose a specialized string kernel for small bio-molecules, peptides...
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05/04/2010
