Malik Tiomoko
9 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Academic Marathon (5) ๐ Cross-Pollinator (8)
๐บ๏ธ
Taxonomy Completionist
(18)
Conferences
ICML (5)
ICLR (2)
NIPS (1)
UAI (1)
Top co-authors
Keywords
random matrix theory
(4)
hyperparameter optimization
(2)
feature learning
(1)
spectral clustering
(1)
transfer learning
(1)
principal component analysis
(1)
supervised learning
(1)
covariance estimation
(1)
tensor decomposition
(1)
low density separation
(1)
discriminant analysis
(1)
time series forecasting
(1)
precision matrix
(1)
high-dimensional analysis
(1)
multi-task regression
(1)
low-rank tensor
(1)
multivariate time series
(1)
support vector machine
(1)
random matrix
(1)
negative transfer
(1)
Papers
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
NIPS 2024
Random matrix theory improved Frรฉchet 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
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
ICML 2023
PCA-based Multi-Task Learning: a Random Matrix Approach
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