Dawen Liang | DeepAI

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Featured Co-authors

Julian McAuley
120 publications
David M. Blei
92 publications
Nathan Kallus
88 publications
Laurent Charlin
43 publications
Dustin Tran
42 publications
Yixin Wang
32 publications
Matthew D. Hoffman
26 publications
Bodhisattwa Prasad Majumder
23 publications
Rahul G. Krishnan
21 publications
Tony Jebara
19 publications
Maja Rudolph
16 publications

∙ 08/19/2023

Large Language Models as Zero-Shot Conversational Recommenders

In this paper, we present empirical studies on conversational recommenda...

0 Zhankui He, et al. ∙

∙ 12/22/2022

Local Policy Improvement for Recommender Systems

Recommender systems aim to answer the following question: given the item...

0 Dawen Liang, et al. ∙

∙ 06/14/2019

Learning Correlated Latent Representations with Adaptive Priors

Variational Auto-Encoders (VAEs) have been widely applied for learning c...

3 Da Tang, et al. ∙

∙ 05/14/2019

Correlated Variational Auto-Encoders

Variational Auto-Encoders (VAEs) are capable of learning latent represen...

7 Da Tang, et al. ∙

∙ 08/20/2018

The Deconfounded Recommender: A Causal Inference Approach to Recommendation

The goal of a recommender system is to show its users items that they wi...

6 Yixin Wang, et al. ∙

∙ 02/16/2018

Variational Autoencoders for Collaborative Filtering

We extend variational autoencoders (VAEs) to collaborative filtering for...

0 Dawen Liang, et al. ∙

∙ 10/17/2017

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

We study parameter estimation in Nonlinear Factor Analysis (NFA) where t...

0 Rahul G. Krishnan, et al. ∙

∙ 10/31/2016

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

Probabilistic modeling is a powerful approach for analyzing empirical in...

0 Dustin Tran, et al. ∙

∙ 10/23/2015

Modeling User Exposure in Recommendation

Collaborative filtering analyzes user preferences for items (e.g., books...

0 Dawen Liang, et al. ∙

∙ 11/07/2014

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

Beta process is the standard nonparametric Bayesian prior for latent fac...

0 Dawen Liang, et al. ∙

∙ 12/20/2013

A Generative Product-of-Filters Model of Audio

We propose the product-of-filters (PoF) model, a generative model that d...

0 Dawen Liang, et al. ∙

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