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Optimizing Optimizers: Regret-optimal gradient descent algorithms

Optimizing Optimizers: Regret-optimal gradient descent algorithms

31 December 2020
P. Casgrain
Anastasis Kratsios
ArXivPDFHTML

Papers citing "Optimizing Optimizers: Regret-optimal gradient descent algorithms"

3 / 3 papers shown
Title
Regret-Optimal Federated Transfer Learning for Kernel Regression with
  Applications in American Option Pricing
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing
Xuwei Yang
Anastasis Kratsios
Florian Krach
Matheus Grasselli
Aurelien Lucchi
FedML
21
2
0
08 Sep 2023
A Nonstochastic Control Approach to Optimization
A Nonstochastic Control Approach to Optimization
Xinyi Chen
Elad Hazan
47
5
0
19 Jan 2023
Meta-learning Based Short-Term Passenger Flow Prediction for
  Newly-Operated Urban Rail Transit Stations
Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations
Kuo Han
Jinlei Zhang
Chunqi Zhu
Lixing Yang
Xiaoyu Huang
Songsong Li
AI4TS
33
2
0
13 Oct 2022
1