James Hensman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
5
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | KBLaM: Knowledge Base augmented Language Model. | Xi Wang, Taketomo Isazawa, Liana Mikaelyan, James Hensman |
| 2024 | EMNLP | Learning to Extract Structured Entities Using Language Models. | Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra |
| 2024 | ICLR | SliceGPT: Compress Large Language Models by Deleting Rows and Columns. | Saleh Ashkboos, Maximilian L. Croci, Marcelo Gennari Do Nascimento, Torsten Hoefler, James Hensman |
| 2022 | ICML | Additive Gaussian Processes Revisited. | Xiaoyu Lu, Alexis Boukouvalas, James Hensman |
| 2020 | AISTATS | Doubly Sparse Variational Gaussian Processes. | Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman |
| 2020 | AISTATS | Bayesian Image Classification with Deep Convolutional Gaussian Processes. | Vincent Dutordoir, Mark van der Wilk, Artem Artemev, James Hensman |
| 2020 | ICML | Sparse Gaussian Processes with Spherical Harmonic Features. | Vincent Dutordoir, Nicolas Durrande, James Hensman |
| 2020 | UAI | Amortized variance reduction for doubly stochastic objective. | Ayman Boustati, Sattar Vakili, James Hensman, S. T. John |
| 2019 | AISTATS | Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era. | Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman |
| 2019 | ICML | Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models. | Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen |
| 2019 | ICML | Deep Gaussian Processes with Importance-Weighted Variational Inference. | Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth |
| 2018 | AISTATS | Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models. | Hugh Salimbeni, Stefanos Eleftheriadis, James Hensman |
| 2018 | ICML | Large-Scale Cox Process Inference using Variational Fourier Features. | S. T. John, James Hensman |
| 2016 | AISTATS | On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes. | Alexander G. de G. Matthews, James Hensman, Richard E. Turner, Zoubin Ghahramani |
| 2016 | AISTATS | Chained Gaussian Processes. | Alan D. Saul, James Hensman, Aki Vehtari, Neil D. Lawrence |
| 2015 | AISTATS | Scalable Variational Gaussian Process Classification. | James Hensman, Alexander G. de G. Matthews, Zoubin Ghahramani |
| 2014 | AISTATS | Tilted Variational Bayes. | James Hensman, Max Zwiessele, Neil D. Lawrence |
| 2014 | AISTATS | Hybrid Discriminative-Generative Approach with Gaussian Processes. | Ricardo Andrade Pacheco, James Hensman, Max Zwiessele, Neil D. Lawrence |
| 2013 | UAI | Gaussian Processes for Big Data. | James Hensman, Nicol Fusi, Neil D. Lawrence |