引用次数
引用: 6,868
H-指数: 21
I10-指数 : 28
出版物: 45
Landmarking Manifolds with Gaussian Processes
John Paisley , Dawen Liang
international conference on machine learning 466 -474
6
2015
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran , Alp Kucukelbir , Adji B Dieng , Maja Rudolph
arXiv: Computation
323
2016
The Deconfounded Recommender: A Causal Inference Approach to Recommendation.
Laurent Charlin , Dawen Liang , David M. Blei , Yixin Wang
arXiv: Information Retrieval
57
2018
Learning Correlated Latent Representations with Adaptive Priors.
Tony Jebara , Nicholas Ruozzi , Dawen Liang , Da Tang
arXiv: Learning
1
2019
On the challenges of learning with inference networks on sparse, high-dimensional data
Dawen Liang , Matthew D. Hoffman , Rahul G. Krishnan
international conference on artificial intelligence and statistics 143 -151
75
2017
A Generative Product-of-Filters Model of Audio
Gautham J. Mysore , Dawen Liang , Matthew D. Hoffman
international conference on learning representations
4
2014
Correlated Variational Auto-Encoders.
Tony Jebara , Nicholas Ruozzi , Dawen Liang , Da Tang
international conference on learning representations
17
2019
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence
Dawen Liang , Jaan Altosaar , Laurent Charlin , David M. Blei
conference on recommender systems 59 -66
143
2016
Causal Inference for Recommender Systems
Yixin Wang , Dawen Liang , Laurent Charlin , David M. Blei
conference on recommender systems 426 -431
73
2020
Modeling User Exposure in Recommendation
Dawen Liang , Laurent Charlin , James McInerney , David M. Blei
the web conference 951 -961
154
2016
Methods and prospects for human-computer performance of popular music
Roger B. Dannenberg , Nicolas E. Gold , Dawen Liang , Guangyu Xia
Computer Music Journal 38 ( 2) 36 -50
6
2014
Active scores: Representation and synchronization in human-computer performance of popular music
Roger B. Dannenberg , Nicolas E. Gold , Dawen Liang , Guangyu Xia
Computer Music Journal 38 ( 2) 51 -62
7
2014
Variational Autoencoders for Collaborative Filtering
Dawen Liang , Rahul G. Krishnan , Matthew D. Hoffman , Tony Jebara
the web conference 689 -698
838
2018
librosa: Audio and Music Signal Analysis in Python
Brian McFee , Colin Raffel , Dawen Liang , Daniel Ellis
Proceedings of the 14th Python in Science Conference 18 -24
2,060
2015
Deep learning for recommender systems: A Netflix case study
Harald Steck , Linas Baltrunas , Ehtsham Elahi , Dawen Liang
AI Magazine 42 ( 3) 7 -18
32
2021
Causal inference for recommendation
Dawen Liang , Laurent Charlin , David M Blei
Smpte Journal
76
2016
Large language models as zero-shot conversational recommenders
Zhankui He , Zhouhang Xie , Rahul Jha , Harald Steck
720 -730
58
2023
Off-policy evaluation for large action spaces via policy convolution
Noveen Sachdeva , Lequn Wang , Dawen Liang , Nathan Kallus
WWW
6
2024
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
Zhankui He , Zhouhang Xie , Harald Steck , Dawen Liang
arXiv preprint arXiv:2405.12119
2024
Local policy improvement for recommender systems
Dawen Liang , Nikos Vlassis
arXiv preprint arXiv:2212.11431
2
2022
Daniel P W Ellis Matthew D. Hoffman Brian McFee Oriol Nieto David Blei Colin Raffel Laurent Charlin Justin Salamon Eric J. Humphrey James McInerney Dustin Tran Alp Kucukelbir Maja Rudolph Adji Bousso Dieng Gus (Guangyu) Xia Roger B. Dannenberg Gautham J. Mysore Rachel M. Bittner Nicolas Gold John Paisley