David Duvenaud
Affiliations:- University of Toronto, Department of Computer Science, Canada
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA (former)
- University of Cambridge, Department of Engineering, UK (PhD)
According to our database1,
David Duvenaud
authored at least 81 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Dagstuhl Reports, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming.
Proc. ACM Program. Lang., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
No MCMC for me: Amortized sampling for fast and stable training of energy-based models.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling.
CoRR, 2020
What went wrong and when? Instance-wise feature importance for time-series black-box models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019
2018
CoRR, 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference.
CoRR, 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Automatic chemical design using a data-driven continuous representation of molecules.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Composing graphical models with neural networks for structured representations and fast inference.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Active learning of intuitive control knobs for synthesizers using gaussian processes.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Automatic Construction and Natural-Language Description of Nonparametric Regression Models.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011
2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010