Florian Yger
12 papers · 2015–2025 · 6 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(63)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(8)
Learning Types
(6)
Artificial Intelligence
(5)
Mathematics & Optimization
(5)
Mathematics
(5)
Core AI
(4)
Optimization & Theory
(4)
Optimization
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Keywords
symmetric positive definite matrix
(3)
transfer learning
(3)
maximum likelihood
(2)
principal component analysis
(2)
dimensionality reduction
(2)
covariance matrix
(2)
eeg signal
(2)
noisy signal
(2)
riemannian geometry
(2)
bregman divergence
(1)
brain-computer interface
(1)
statistical consistency
(1)
image classification
(1)
deep learning
(1)
supervised learning
(1)
adversarial robustness
(1)
mean squared error
(1)
mallows model
(1)
riemannian manifold
(1)
likelihood maximization
(1)
Papers
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
ICML 2025
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Multi-winner approval voting goes epistemic
UAI 2022
Truth-Tracking via Approval Voting: Size Matters
AAAI 2022
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
ICML 2021
Geodesically-convex optimization for averaging partially observed covariance matrices
ACML 2020
Theoretical evidence for adversarial robustness through randomization
NeurIPS 2019
Uplift Modeling from Separate Labels
NeurIPS 2018
Recognizing Art Style Automatically in Painting with Deep Learning
ACML 2017
Geometry-aware stationary subspace analysis
ACML 2016
Multitask Principal Component Analysis
ACML 2016
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
ACML 2015