Garrigos, Guillaume

1. Handbook of Convergence Theorems for (Stochastic) Gradient Methods
   2023/01/26 by Guillaume Garrigos, Garrigos, Guillaume, Robert M. Gower +1 · 2 voices · 37 citations
   #math.OC
2. Provable convergence guarantees for black-box variational inference
   2023/06/04 by Justin Domke, Guillaume Garrigos, Domke, Justin +3 · 3 citations
   Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
3. Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM
   2023/07/26 by Garrigos, Guillaume, Gower, Robert M., Schaipp, Fabian · 2 citations
   #15B52 #62L20 #65Y20 #68W20 #68W40 #74S60 #90C06 #90C53 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Machine Learning (cs.LG) #Optimization and Control (math.OC)
4. Square distance functions are Polyak-Łojasiewicz and vice-versa
   2023/01/24 by Garrigos, Guillaume · 1 citation
   #FOS: Mathematics #Optimization and Control (math.OC)
5. Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
   2023/07/12 by Hihat, Massil, Gaïffas, Stéphane, Garrigos, Guillaume +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
6. Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
   2025/04/02 by Gower, Robert M., Garrigos, Guillaume, Loizou, Nicolas +3 · 3 citations
   #15B52 #62L20 #65Y20 #68W20 #68W40 #74S60 #90C06 #90C53 #FOS: Computer and information sciences #G.1.6 #Machine Learning (cs.LG)