Edwin V. Bonilla
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
11
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Variational Search Distributions. | Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla |
| 2025 | ICML | Rnyi Neural Processes. | Xuesong Wang, He Zhao, Edwin V. Bonilla |
| 2025 | ICML | Variational Learning of Fractional Posteriors. | Kian Ming A. Chai, Edwin V. Bonilla |
| 2024 | AISTATS | Contextual Directed Acyclic Graphs. | Ryan Thompson, Edwin V. Bonilla, Robert Kohn |
| 2024 | ICML | Optimal Transport for Structure Learning Under Missing Data. | Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung |
| 2024 | ICML | Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. | Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung |
| 2023 | AISTATS | Recurrent Neural Networks and Universal Approximation of Bayesian Filters. | Adrian N. Bishop, Edwin V. Bonilla |
| 2023 | ICML | Transformed Distribution Matching for Missing Value Imputation. | He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla |
| 2023 | ICML | Free-Form Variational Inference for Gaussian Process State-Space Models. | Xuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson |
| 2023 | KDD | Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. | Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung |
| 2022 | ICML | Optimizing Sequential Experimental Design with Deep Reinforcement Learning. | Tom Blau, Edwin V. Bonilla, Iadine Chades, Amir Dezfouli |
| 2022 | ICML | Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. | Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos |
| 2021 | AISTATS | Distribution Regression for Sequential Data. | Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons |
| 2021 | AISTATS | Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. | Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone |
| 2021 | ICML | SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. | Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons |
| 2021 | ICML | BORE: Bayesian Optimization by Density-Ratio Estimation. | Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cdric Archambeau, Fabio Ramos |
| 2019 | AISTATS | Efficient Inference in Multi-task Cox Process Models. | Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla |
| 2019 | AISTATS | Calibrating Deep Convolutional Gaussian Processes. | Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone |
| 2018 | ICML | Variational Network Inference: Strong and Stable with Concrete Support. | Amir Dezfouli, Edwin V. Bonilla, Richard Nock |
| 2017 | AISTATS | Gray-box Inference for Structured Gaussian Process Models. | Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto |
| 2017 | ICML | Random Feature Expansions for Deep Gaussian Processes. | Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone |
| 2017 | UAI | AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. | Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone |
| 2016 | ICML | Extended and Unscented Kitchen Sinks. | Edwin V. Bonilla, Daniel M. Steinberg, Alistair Reid |
| 2014 | ICML | Fast Allocation of Gaussian Process Experts. | Trung V. Nguyen, Edwin V. Bonilla |
| 2014 | UAI | Collaborative Multi-output Gaussian Processes. | Trung V. Nguyen, Edwin V. Bonilla |
| 2013 | AISTATS | Efficient Variational Inference for Gaussian Process Regression Networks. | Trung V. Nguyen, Edwin V. Bonilla |
| 2013 | IJCAI | Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes. | Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart |
| 2013 | IJCAI | Bayesian Joint Inversions for the Exploration of Earth Resources. | Alistair Reid, Simon Timothy O'Callaghan, Edwin V. Bonilla, Lachlan McCalman, Tim Rawling, Fabio Ramos |
| 2012 | DATE | Predicting best design trade-offs: A case study in processor customization. | Marcela Zuluaga, Edwin V. Bonilla, Nigel P. Topham |
| 2012 | ICML | Discriminative Probabilistic Prototype Learning. | Edwin V. Bonilla, Antonio Robles-Kelly |
| 2012 | WWW | New objective functions for social collaborative filtering. | Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicols Della Penna |
| 2010 | MICRO | A Predictive Model for Dynamic Microarchitectural Adaptivity Control. | Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Michael F. P. O'Boyle |
| 2009 | CGO | Automatic Feature Generation for Machine Learning Based Optimizing Compilation. | Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle |
| 2009 | MICRO | Portable compiler optimisation across embedded programs and microarchitectures using machine learning. | Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Grigori Fursin, Michael F. P. O'Boyle |
| 2007 | CGO | Rapidly Selecting Good Compiler Optimizations using Performance Counters. | John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam |
| 2006 | CASES | Automatic performance model construction for the fast software exploration of new hardware designs. | John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam |
| 2006 | CGO | Using Machine Learning to Focus Iterative Optimization. | Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Bjrn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams |
| 2006 | ICML | Predictive search distributions. | Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle |