Marco Loog
13 papers · 1997–2023 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(54)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
🚀
Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(11)
Learning Types · Machine Learning
(8)
Optimization & Theory
(8)
Artificial Intelligence
(4)
Core AI
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
semi-supervised learning
(3)
fisher criterion
(2)
linear algebra
(2)
empirical risk minimization
(2)
domain adaptation
(2)
causal inference
(2)
linear classifier
(2)
discriminant analysis
(1)
covariate shift
(1)
transfer learning
(1)
bias detection
(1)
pac learning
(1)
binary classification
(1)
time series forecasting
(1)
surrogate loss
(1)
logistic regression
(1)
excess risk bound
(1)
empirical risk
(1)
finite-sample analysis
(1)
temporal analysis
(1)
Papers
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
NeurIPS 2023
Enhancing Classifier Conservativeness and Robustness by Polynomiality
CVPR 2022
Consistency and Finite Sample Behavior of Binary Class Probability Estimation
AAAI 2021
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings
EMNLP 2020
Semi-supervised learning, causality, and the conditional cluster assumption
UAI 2020
Minimizers of the Empirical Risk and Risk Monotonicity
NeurIPS 2019
Open Problem: Monotonicity of Learning
COLT 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
AISTATS 2019
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
NeurIPS 2018
Feature-Level Domain Adaptation
JMLR 2016
On the Equivalence of Linear Dimensionality-Reducing Transformations
JMLR 2008
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion
JMLR 2007
Salient Point and Scale Detection by Minimum Likelihood
AISTATS 1997