Malik Tiomoko
9 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Keywords
random matrix theory
(6)
hyperparameter optimization
(3)
support vector machine
(2)
multi-task learning
(2)
transfer learning
(2)
feature learning
(1)
supervised learning
(1)
continual learning
(1)
principal component analysis
(1)
semi-supervised learning
(1)
time series forecasting
(1)
covariance estimation
(1)
tensor decomposition
(1)
sparse principal component analysis
(1)
discriminant analysis
(1)
low density separation
(1)
spectral clustering
(1)
precision matrix
(1)
high-dimensional analysis
(1)
catastrophic forgetting
(1)
Papers
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
NeurIPS 2024
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
ICML 2024
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective
UAI 2023
Optimizing Spca-based Continual Learning: A Theoretical Approach
ICLR 2023
PCA-based Multi-Task Learning: a Random Matrix Approach
ICML 2023
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
ICML 2023
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
ICML 2022
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
ICLR 2021
Random Matrix Improved Covariance Estimation for a Large Class of Metrics
ICML 2019