research
∙
05/25/2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Particle-based deep generative models, such as gradient flows and score-...
share
research
∙
02/22/2023
Learning from Multiple Sources for Data-to-Text and Text-to-Data
Data-to-text (D2T) and text-to-data (T2D) are dual tasks that convert st...
research
∙
07/01/2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) is an elegant model that assigns a p...
research
∙
01/20/2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) on a collection of M items is a mode...
research
∙
07/26/2021
Combining Reward and Rank Signals for Slate Recommendation
We consider the problem of slate recommendation, where the recommender s...
research
∙
11/19/2020
Wasserstein Learning of Determinantal Point Processes
Determinantal point processes (DPPs) have received significant attention...
research
∙
06/17/2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Determinantal point processes (DPPs) have attracted significant attentio...
research
∙
06/21/2019
Embedding models for recommendation under contextual constraints
Embedding models, which learn latent representations of users and items ...
research
∙
05/30/2019
Learning Nonsymmetric Determinantal Point Processes
Determinantal point processes (DPPs) have attracted substantial attentio...
research
∙
03/25/2019
GEVR: An Event Venue Recommendation System for Groups of Mobile Users
In this paper, we present GEVR, the first Group Event Venue Recommendati...
research
∙
11/17/2018
Deep Determinantal Point Processes
Determinantal point processes (DPPs) have attracted significant attentio...
research
∙
05/24/2018
Basket Completion with Multi-task Determinantal Point Processes
Determinantal point processes (DPPs) have received significant attention...
research
∙
05/22/2018
Adversarial Training of Word2Vec for Basket Completion
In recent years, the Word2Vec model trained with the Negative Sampling l...
research
∙
02/15/2018
Learning Determinantal Point Processes by Sampling Inferred Negatives
Determinantal Point Processes (DPPs) have attracted significant interest...
research
∙
10/06/2017
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application
The wide adoption of smartphones and mobile applications has brought sig...
research
∙
08/15/2016
The Bayesian Low-Rank Determinantal Point Process Mixture Model
Determinantal point processes (DPPs) are an elegant model for encoding p...
research
∙
02/17/2016