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Compositional ADAM: An Adaptive Compositional Solver

Compositional ADAM: An Adaptive Compositional Solver

10 February 2020
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
    ODL
ArXivPDFHTML

Papers citing "Compositional ADAM: An Adaptive Compositional Solver"

10 / 10 papers shown
Title
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
33
2
0
01 Aug 2023
Stability and Generalization of Stochastic Compositional Gradient
  Descent Algorithms
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Minghao Yang
Xiyuan Wei
Tianbao Yang
Yiming Ying
37
1
0
07 Jul 2023
Efficient Semi-Implicit Variational Inference
Efficient Semi-Implicit Variational Inference
Vincent Moens
Hang Ren
A. Maraval
Rasul Tutunov
Jun Wang
H. Ammar
85
6
0
15 Jan 2021
Gryffin: An algorithm for Bayesian optimization of categorical variables
  informed by expert knowledge
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Hase
Matteo Aldeghi
Riley J. Hickman
L. Roch
Alán Aspuru-Guzik
47
104
0
26 Mar 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
31
35
0
17 Oct 2019
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
50
31
0
18 Dec 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
170
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
Xiaowei Hu
A. PrashanthL.
András Gyorgy
Csaba Szepesvári
76
65
0
22 Sep 2016
1