Caio Kalil Lauand

1. Revisiting Step-Size Assumptions in Stochastic Approximation
   2024/05/28 by Caio Kalil Lauand, Lauand, Caio Kalil, Sean Meyn +1 · 4 citations
   Decision Sciences · #62L20 #68T05 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Simulation Techniques and Applications #Statistics Theory (math.ST)
2. The case for and against fixed step-size: Stochastic approximation algorithms in optimization and machine learning
   2023/09/06 by Caio Kalil Lauand, Lauand, Caio Kalil, Kontoyiannis, Ioannis +1 · 2 citations
   Computer Science · Engineering · #62L20 #68T05 #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural Networks and Applications #Statistics Theory (math.ST)
3. Markovian Foundations for Quasi-Stochastic Approximation with Applications to Extremum Seeking Control
   2022/07/13 by Caio Kalil Lauand, Lauand, Caio Kalil, Sean Meyn +1 · 2 citations
   Economics, Econometrics and Finance · Engineering · #34C29 #62L20 #93C10 #93C15 #93C73 #Extremum Seeking Control Systems #FOS: Mathematics #Optimization and Control (math.OC) #Stochastic processes and financial applications