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Learning from Aggregate Observations
Neural Information Processing Systems (NeurIPS), 2020
14 April 2020
Yivan Zhang
Nontawat Charoenphakdee
Zheng Wu
Masashi Sugiyama
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Papers citing
"Learning from Aggregate Observations"
22 / 22 papers shown
Learning Robust Diffusion Models from Imprecise Supervision
Dong-Dong Wu
Jiacheng Cui
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Masashi Sugiyama
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Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI Conference on Artificial Intelligence (AAAI), 2025
Yingda Fan
Runlong Yu
Janet R. Barclay
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Yiming Sun
Yiqun Xie
Xiaowei Jia
AI4CE
285
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03 May 2025
Generating Origin-Destination Matrices in Neural Spatial Interaction Models
Neural Information Processing Systems (NeurIPS), 2024
Ioannis Zachos
Mark Girolami
Theodoros Damoulas
225
3
0
09 Oct 2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
International Conference on Learning Representations (ICLR), 2024
Adel Javanmard
Lin Chen
Vahab Mirrokni
Ashwinkumar Badanidiyuru
Gang Fu
241
2
0
20 Jan 2024
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lue Tao
Yu-Xuan Huang
Wang-Zhou Dai
Yuan Jiang
323
5
0
21 Aug 2023
On Learning Latent Models with Multi-Instance Weak Supervision
Neural Information Processing Systems (NeurIPS), 2023
Kaifu Wang
Efi Tsamoura
Dan Roth
328
14
0
23 Jun 2023
A Universal Unbiased Method for Classification from Aggregate Observations
International Conference on Machine Learning (ICML), 2023
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
Mengqi Li
330
7
0
20 Jun 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Neural Information Processing Systems (NeurIPS), 2023
Hao Chen
Ankit Shah
Yongfeng Zhang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
340
18
0
22 May 2023
Learning from Aggregated Data: Curated Bags versus Random Bags
Lin Chen
Gang Fu
Amin Karbasi
Vahab Mirrokni
FedML
254
12
0
16 May 2023
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hongjun Wang
Zhiwen Zhang
Z. Fan
Jiyuan Chen
Lingyu Zhang
Ryosuke Shibasaki
Xuan Song
209
11
0
13 Jan 2023
Learning from aggregated data with a maximum entropy model
Alexandre Gilotte
Ahmed Ben Yahmed
D. Rohde
FedML
OOD
136
1
0
05 Oct 2022
Active Learning for Regression with Aggregated Outputs
Tomoharu Iwata
UQCV
220
0
0
04 Oct 2022
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Joshua Fan
Di Chen
J. Wen
Ying Sun
Daniel Schwalbe-Koda
188
3
0
16 Jul 2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Yusuke Tanaka
Toshiyuki Tanaka
Tomoharu Iwata
Takeshi Kurashima
Maya Okawa
Yasunori Akagi
Hiroyuki Toda
169
0
0
24 Jun 2022
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Zhiwen Zhang
Hongjun Wang
Z. Fan
Jiyuan Chen
Xuan Song
Ryosuke Shibasaki
286
1
0
21 Jun 2022
AODisaggregation: toward global aerosol vertical profiles
S. Bouabid
D. Watson‐Parris
Sofija Stefanović
A. Nenes
Dino Sejdinovic
219
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0
06 May 2022
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge
The Web Conference (WWW), 2022
Eustache Diemert
Romain Fabre
Alexandre Gilotte
Fei Jia
Basile Leparmentier
Jérémie Mary
Zhonghua Qu
Ugo Tanielian
Hui Yang
145
7
0
31 Jan 2022
Gaussian Process Bandits with Aggregated Feedback
AAAI Conference on Artificial Intelligence (AAAI), 2021
Mengyan Zhang
Russell Tsuchida
Cheng Soon Ong
162
6
0
24 Dec 2021
Entropic Herding
Statistics and computing (Stat Comput), 2021
Hiroshi Yamashita
H. Suzuki
Kazuyuki Aihara
189
0
0
22 Dec 2021
Deconditional Downscaling with Gaussian Processes
Neural Information Processing Systems (NeurIPS), 2021
Siu Lun Chau
S. Bouabid
Dino Sejdinovic
BDL
332
26
0
27 May 2021
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Neural Information Processing Systems (NeurIPS), 2021
Yasunori Akagi
Naoki Marumo
Hideaki Kim
Takeshi Kurashima
Hiroyuki Toda
166
1
0
18 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
319
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0
05 Jan 2021
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