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1212.2447
Cited By
Bayesian Hierarchical Mixtures of Experts
Conference on Uncertainty in Artificial Intelligence (UAI), 2002
19 October 2012
Charles M. Bishop
M. Svensén
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Papers citing
"Bayesian Hierarchical Mixtures of Experts"
34 / 34 papers shown
Basis Transformers for Multi-Task Tabular Regression
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CoCoAFusE: Beyond Mixtures of Experts via Model Fusion
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M. Tanelli
Valentina Breschi
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320
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02 May 2025
Improving Routing in Sparse Mixture of Experts with Graph of Tokens
Tam Minh Nguyen
Ngoc N. Tran
Khai Nguyen
Richard G. Baraniuk
MoE
253
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01 May 2025
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
375
4
0
29 Aug 2024
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Yuejiang Liu
Alexandre Alahi
233
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23 Feb 2024
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
M. Bitzer
Mona Meister
Christoph Zimmer
183
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0
17 Mar 2023
Variational Boosted Soft Trees
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tristan Cinquin
Tammo Rukat
Philipp Schmidt
Martin Wistuba
Artur Bekasov
BDL
UQCV
222
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0
21 Feb 2023
Joint Probability Trees
D. Nyga
Mareike Picklum
Tom Schierenbeck
Michael Beetz
156
1
0
14 Feb 2023
Gaussian Process-Gated Hierarchical Mixtures of Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yuhao Liu
Marzieh Ajirak
Petar M. Djurić
MoE
248
5
0
09 Feb 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
International Conference on Machine Learning (ICML), 2022
Jiachen Li
Edwin Zhang
Ming Yin
Qinxun Bai
Yu Wang
William Yang Wang
OffRL
252
18
0
29 Nov 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
243
36
0
16 Oct 2022
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Weilong Dai
AI4CE
322
6
0
07 Sep 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI Conference on Artificial Intelligence (AAAI), 2021
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
243
54
0
05 Jun 2021
Healing Products of Gaussian Processes
Samuel N. Cohen
R. Mbuvha
T. Marwala
M. Deisenroth
GP
130
1
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14 Feb 2021
Decision Machines: An Extension of Decision Trees
Jinxiong Zhang
OffRL
207
0
0
27 Jan 2021
Bayesian hierarchical stacking: Some models are (somewhere) useful
Bayesian Analysis (BA), 2021
Yuling Yao
Gregor Pirvs
Aki Vehtari
Andrew Gelman
334
17
0
22 Jan 2021
Dive into Decision Trees and Forests: A Theoretical Demonstration
Jinxiong Zhang
210
6
0
20 Jan 2021
A similarity-based Bayesian mixture-of-experts model
Statistics and computing (Stat. Comput.), 2020
Tianfang Zhang
R. Bokrantz
Jimmy Olsson
267
4
0
03 Dec 2020
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
Haiping Zhu
Hongming Shan
Yuheng Zhang
L. Che
Xiaoyang Xu
Junping Zhang
Jianbo Shi
Fei-Yue Wang
191
4
0
07 Aug 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Zepeng Huo
Arash Pakbin
Xiaohan Chen
N. Hurley
Ye Yuan
Xiaoning Qian
Zinan Lin
Shuai Huang
B. Mortazavi
HAI
151
14
0
03 Mar 2020
Hierarchical Routing Mixture of Experts
International Conference on Pattern Recognition (ICPR), 2019
Wenbo Zhao
Yang Gao
Shahan Ali Memon
Bhiksha Raj
Rita Singh
MoE
123
6
0
18 Mar 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018
Haitao Liu
Yew-Soon Ong
Xiaobo Shen
Jianfei Cai
GP
408
803
0
03 Jul 2018
Conditionally conjugate mean-field variational Bayes for logistic models
Daniele Durante
T. Rigon
218
44
0
19 Nov 2017
Robust mixture of experts modeling using the skew
t
t
t
distribution
Faicel Chamroukhi
OOD
MoE
99
8
0
09 Dec 2016
Robust mixture of experts modeling using the
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t
t
distribution
Faicel Chamroukhi
MoE
OOD
106
39
0
09 Dec 2016
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels
Amir Akbarnejad
M. Baghshah
63
3
0
18 Jun 2016
Predictive Coarse-Graining
M. Schöberl
N. Zabaras
P. Koutsourelakis
303
35
0
26 May 2016
Causal Falling Rule Lists
Fulton Wang
Cynthia Rudin
CML
142
21
0
18 Oct 2015
Goodness of fit of logistic models for random graphs
Pierre Latouche
Stephane S. Robin
S. Ouadah
480
15
0
02 Aug 2015
Non-Normal Mixtures of Experts
Faicel Chamroukhi
MoE
162
8
0
22 Jun 2015
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
Hanie Sedghi
Majid Janzamin
Anima Anandkumar
388
15
0
09 Dec 2014
Simultaneous Feature and Expert Selection within Mixture of Experts
B. Peralta
125
1
0
29 May 2014
Learning Densities Conditional on Many Interacting Features
David C. Kessler
Jack A. Taylor
David B. Dunson
143
0
0
26 Apr 2013
Variational approximation for mixtures of linear mixed models
Siew Li Tan
David J. Nott
264
23
0
20 Dec 2011
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