Robert M. Gower
12 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(7)
π
Triple Crown
π₯
Unstoppable
(5)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
AISTATS (3)
ICLR (3)
ICML (3)
NIPS (2)
ACML (1)
Top co-authors
Keywords
convergence rate
(2)
variance reduction
(2)
stochastic gradient descent
(1)
non-convex optimization
(1)
probabilistic modeling
(1)
convex optimization
(1)
policy gradient
(1)
sample complexity
(1)
gradient descent
(1)
worst-case performance
(1)
accelerated gradient
(1)
convergence guarantee
(1)
generalized linear model
(1)
momentum method
(1)
stochastic newton method
(1)
finite sum optimization
(1)
subsampled newton-raphson
(1)
risk measure
(1)
score-based method
(1)
eigenvalue problem
(1)
Papers
Level Set Teleportation: An Optimization Perspective
AISTATS 2025
EigenVI: score-based variational inference with orthogonal function expansions
NIPS 2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
NIPS 2024
Improving Convergence and Generalization Using Parameter Symmetries
ICLR 2024
Batch and match: black-box variational inference with a score-based divergence
ICML 2024
MoMo: Momentum Models for Adaptive Learning Rates
ICML 2024
SP2 : A Second Order Stochastic Polyak Method
ICLR 2023
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
ICLR 2023
A Model-Based Method for Minimizing CVaR and Beyond
ICML 2023
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
AISTATS 2022
A general sample complexity analysis of vanilla policy gradient
AISTATS 2022
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
ACML 2021