Jonathan Lacotte
9 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (9) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge
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Hot Topic Early Bird
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Keyword Champion
(2)
π₯
Unstoppable
(5)
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Trend Setter
Conferences
NIPS (4)
ICLR (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
convergence rate
(3)
hessian sketch
(2)
effective dimension
(2)
matrix sketching
(2)
subsampled randomized hadamard transform
(2)
function approximation
(1)
logistic regression
(1)
reinforcement learning
(1)
coordinate descent
(1)
matrix approximation
(1)
least squares regression
(1)
hessian matrix
(1)
high-dimensional optimization
(1)
second-order optimization
(1)
convex optimization
(1)
random projection
(1)
random matrix theory
(1)
iterative sketching
(1)
randomized algorithm
(1)
randomized hadamard transform
(1)
Papers
Globally Optimal Training of Neural Networks with Threshold Activation Functions
ICLR 2023
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
ICLR 2022
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
NIPS 2021
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
ICML 2021
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
NIPS 2020
Optimal Randomized First-Order Methods for Least-Squares Problems
ICML 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
NIPS 2020
Risk-Sensitive Generative Adversarial Imitation Learning
AISTATS 2019
High-Dimensional Optimization in Adaptive Random Subspaces
NIPS 2019