Dawen Liang

According to our database, Dawen Liang authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Risk-Sensitive RL with Optimized Certainty Equivalents via Reduction to Standard RL.

Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun

CoRR, 2024

Switching the Loss Reduces the Cost in Batch Reinforcement Learning.

Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári

CoRR, 2024

2023

Off-Policy Evaluation for Large Action Spaces via Policy Convolution.

Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley

CoRR, 2023

Large Language Models as Zero-Shot Conversational Recommenders.

Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Local Policy Improvement for Recommender Systems.

Dawen Liang, Nikos Vlassis

CoRR, 2022

2021

Deep Learning for Recommender Systems: A Netflix Case Study.

Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico

AI Mag., 2021

Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher.

Harald Steck, Dawen Liang

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Bayesian Causal Inference for Real World Interactive Systems.

Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Causal Inference for Recommender Systems.

Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Learning Correlated Latent Representations with Adaptive Priors.

Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara

CoRR, 2019

Correlated Variational Auto-Encoders.

Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

The Deconfounded Recommender: A Causal Inference Approach to Recommendation.

Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

CoRR, 2018

Variational Autoencoders for Collaborative Filtering.

Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On the challenges of learning with inference networks on sparse, high-dimensional data.

Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Understanding Music Semantics and User Behavior with Probabilistic Latent Variable Models.

Dawen Liang

PhD thesis, 2016

Edward: A library for probabilistic modeling, inference, and criticism.

Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei

CoRR, 2016

Modeling User Exposure in Recommendation.

Dawen Liang, Laurent Charlin, James McInerney, David M. Blei

Proceedings of the 25th International Conference on World Wide Web, 2016

Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence.

Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

librosa: Audio and Music Signal Analysis in Python.

Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto

Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6, 2015

Content-Aware Collaborative Music Recommendation Using Pre-trained Neural Networks.

Dawen Liang, Minshu Zhan, Daniel P. W. Ellis

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Landmarking Manifolds with Gaussian Processes.

Dawen Liang, John W. Paisley

Proceedings of the 32nd International Conference on Machine Learning, 2015

Speech dereverberation using a learned speech model.

Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

A Generative Product-of-Filters Model of Audio.

Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore

Proceedings of the 2nd International Conference on Learning Representations, 2014

Beta Process Non-negative Matrix Factorization with Stochastic Structured Mean-Field Variational Inference.

Dawen Liang, Matthew D. Hoffman

CoRR, 2014

Active Scores: Representation and Synchronization in Human-Computer Performance of Popular Music.

Roger B. Dannenberg, Nicolas E. Gold, Dawen Liang, Guangyu Xia

Comput. Music. J., 2014

Methods and Prospects for Human-Computer Performance of Popular Music.

Roger B. Dannenberg, Nicolas E. Gold, Dawen Liang, Guangyu Xia

Comput. Music. J., 2014

MIR_EVAL: A Transparent Implementation of Common MIR Metrics.

Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel P. W. Ellis

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Codebook-based Scalable Music Tagging with Poisson Matrix Factorization.

Dawen Liang, John W. Paisley, Dan Ellis

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Speech decoloration based on the product-of-filters model.

Dawen Liang, Daniel P. W. Ellis, Matthew D. Hoffman, Gautham J. Mysore

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Beta Process Sparse Nonnegative Matrix Factorization for Music.

Dawen Liang, Matthew D. Hoffman, Daniel P. W. Ellis

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2011

A Framework for Coordination and Synchronization of Media.

Dawen Liang, Guangyu Xia, Roger B. Dannenberg

Proceedings of the 11th International Conference on New Interfaces for Musical Expression, 2011

Segmentation, Clustering, and Display in a Personal Audio Database for Musicians.

Guangyu Xia, Dawen Liang, Roger B. Dannenberg, Mark Harvilla

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011