Aaron Mishkin
7 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer
π£
Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
NIPS (3)
ICML (2)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
convex optimization
(3)
convergence rate
(2)
relu network
(2)
variational inference
(1)
natural gradient
(1)
gradient descent
(1)
regularization path
(1)
solution path
(1)
proximal gradient
(1)
uncertainty estimation
(1)
bayesian deep learning
(1)
critical point
(1)
two-layer neural network
(1)
convex program
(1)
line search
(1)
global optimum
(1)
gated relu
(1)
polyhedral cone constraint
(1)
step-size adaptation
(1)
accelerated proximal gradient
(1)
Papers
Level Set Teleportation: An Optimization Perspective
AISTATS 2025
Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality
ICLR 2025
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
NIPS 2024
Optimal Sets and Solution Paths of ReLU Networks
ICML 2023
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
ICML 2022
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
NIPS 2019
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
NIPS 2018