Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1807.08912
Cited By
Meta-Learning Priors for Efficient Online Bayesian Regression
24 July 2018
James Harrison
Apoorva Sharma
Marco Pavone
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Meta-Learning Priors for Efficient Online Bayesian Regression"
27 / 27 papers shown
Title
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation
Behnoosh Parsa
K. Rajasekaran
Franziska Meier
A. Banerjee
32
5
0
11 Jul 2018
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDL
UQCV
GP
87
514
0
04 Jul 2018
Conditional Neural Processes
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCV
BDL
85
701
0
04 Jul 2018
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
277
501
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
260
671
0
07 Jun 2018
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
82
930
0
21 May 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
108
548
0
30 Mar 2018
Efficient Exploration through Bayesian Deep Q-Networks
Kamyar Azizzadenesheli
Anima Anandkumar
OffRL
BDL
77
163
0
13 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
83
509
0
26 Jan 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
80
173
0
25 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
102
1,363
0
18 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat
Trapit Bansal
Yuri Burda
Ilya Sutskever
Igor Mordatch
Pieter Abbeel
CLL
66
354
0
10 Oct 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
463
19,006
0
20 Jul 2017
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
56
71
0
01 Jun 2017
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
174
851
0
23 May 2017
A probabilistic data-driven model for planar pushing
Maria Bauzá
Alberto Rodriguez
53
104
0
10 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
811
11,894
0
09 Mar 2017
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
214
5,075
0
05 Jun 2016
A flexible state space model for learning nonlinear dynamical systems
Andreas Svensson
Thomas B. Schon
55
104
0
17 Mar 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
180
1,650
0
16 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRL
GAN
66
771
0
02 Dec 2015
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek
Oren Rippel
Kevin Swersky
Ryan Kiros
N. Satish
N. Sundaram
Md. Mostofa Ali Patwary
P. Prabhat
Ryan P. Adams
BDL
UQCV
89
1,043
0
19 Feb 2015
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
165
273
0
24 Feb 2014
Student-t Processes as Alternatives to Gaussian Processes
Amar Shah
A. Wilson
Zoubin Ghahramani
GP
87
203
0
18 Feb 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
439
16,940
0
20 Dec 2013
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
101
1,230
0
26 Sep 2013
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
349
7,934
0
13 Jun 2012
1