Alex Lambert
6 papers · 2019–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (12)
🗺️
Taxonomy Completionist
(10)
Conferences
ICML (5)
AISTATS (1)
Top co-authors
Keywords
reproducing kernel hilbert space
(3)
functional regression
(2)
operator-valued kernel
(2)
hyperparameter learning
(1)
kernel principal component analysis
(1)
kernel pca
(1)
quantile regression
(1)
epsilon-insensitive loss
(1)
gradient descent
(1)
sparse optimization
(1)
cost-sensitive classification
(1)
moreau envelope
(1)
infimal convolution
(1)
robust loss
(1)
functional output regression
(1)
huber loss
(1)
difference of convex optimization
(1)
dimensionality reduction
(1)
kernel methods
(1)
multi-task learning
(1)
Papers
Accelerating Spectral Clustering under Fairness Constraints
ICML 2025
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
ICML 2024
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
ICML 2023
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses
ICML 2022
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020
Infinite Task Learning in RKHSs
AISTATS 2019