Emanuel Laude
7 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Academic Marathon (9) ๐ Cross-Pollinator (8) ๐ Interdisciplinary Bridge
๐บ๏ธ
Taxonomy Completionist
(11)
๐ฃ
Hot Topic Early Bird
Conferences
AISTATS (2)
CVPR (2)
ICML (2)
ECCV (1)
Top co-authors
Keywords
nonconvex optimization
(2)
semi-supervised learning
(1)
robust regression
(1)
primal-dual optimization
(1)
energy minimization
(1)
convex relaxation
(1)
transductive inference
(1)
alternating minimization
(1)
primal-dual algorithm
(1)
distributed training
(1)
moreau-yosida regularization
(1)
proximal splitting
(1)
markov random field
(1)
alternating direction method of multiplier
(1)
moreau envelope
(1)
proximal mapping
(1)
video object segmentation
(1)
functional lifting
(1)
multilabel problem
(1)
higher-order energy
(1)
Papers
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
ICML 2025
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
ECCV 2024
Adaptive Proximal Gradient Methods Are Universal Without Approximation
ICML 2024
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
AISTATS 2019
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
CVPR 2018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization
AISTATS 2018
Sublabel-Accurate Relaxation of Nonconvex Energies
CVPR 2016