Robert Gower
10 papers · 2016–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(10)
Mathematics & Optimization
(5)
Optimization
(5)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
variance reduction
(4)
stochastic optimization
(3)
stochastic gradient
(3)
variational inference
(2)
quasi-newton method
(2)
stochastic variance reduced gradient
(2)
non-convex optimization
(2)
empirical risk minimization
(2)
bayesian inference
(1)
machine learning
(1)
convex optimization
(1)
score matching
(1)
posterior approximation
(1)
second-order optimization
(1)
learning rate
(1)
sinkhorn algorithm
(1)
entropic regularization
(1)
proximal gradient
(1)
condition number
(1)
gradient estimation
(1)
Papers
Provable convergence guarantees for black-box variational inference
NeurIPS 2023
Variational Inference with Gaussian Score Matching
NeurIPS 2023
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
AISTATS 2021
Optimal Mini-Batch and Step Sizes for SAGA
ICML 2019
RSN: Randomized Subspace Newton
NeurIPS 2019
Towards closing the gap between the theory and practice of SVRG
NeurIPS 2019
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
NeurIPS 2018
Stochastic algorithms for entropy-regularized optimal transport problems
AISTATS 2018
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
AISTATS 2018
Stochastic Block BFGS: Squeezing More Curvature out of Data
ICML 2016