conftrace_

determinantal point process

140 papers

Explore in graph

Also known as

DPP

Co-occurring keywords

subset selection (90) map inference (130) markov chain monte carlo (725) probabilistic modeling (852) kernel matrix (73) sampling algorithm (130) submodular optimization (261) bayesian optimization (624) kernel methods (1097) combinatorial optimization (1039)

Papers

Better Highlighting: Creating Sub-Sentence Summary Highlights EMNLP 2020
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling AISTATS 2020
Bayesian experimental design using regularized determinantal point processes AISTATS 2020
Extractive Financial Narrative Summarisation based on DPPs COLING 2020
Determinantal Point Processes for Coresets JMLR 2019
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019
DPPy: DPP Sampling with Python JMLR 2019
In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes CONLL 2019
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization ACL 2019
Exact sampling of determinantal point processes with sublinear time preprocessing NIPS 2019
Learning Nonsymmetric Determinantal Point Processes NIPS 2019
Fast determinantal point processes via distortion-free intermediate sampling COLT 2019
Learning Determinantal Point Processes by Corrective Negative Sampling AISTATS 2019
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm ICML 2019
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes ICML 2019
GDPP: Learning Diverse Generations using Determinantal Point Processes ICML 2019
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ICML 2019
Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019
On two ways to use determinantal point processes for Monte Carlo integration NIPS 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions NIPS 2019
DppNet: Approximating Determinantal Point Processes with Deep Networks NIPS 2019
Kernel quadrature with DPPs NIPS 2019
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations EMNLP 2019
Markov Properties of Discrete Determinantal Point Processes AISTATS 2019