Daniel M. Roy
Orcid: 0000-0001-8930-0058Affiliations:
- University of Toronto, Department of Statistical Sciences
- University of Toronto, Department of Computer Science (cross-appointment)
- University of Cambridge, Department of Engineering (former)
- Massachusetts Institute of Technology, Computer Science and Articial Intelligence Laboratory (former)
According to our database1,
Daniel M. Roy
authored at least 81 papers
between 1990 and 2024.
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Bibliography
2024
Probabilistic Programming Interfaces for Random Graphs: Markov Categories, Graphons, and Nominal Sets.
Proc. ACM Program. Lang., January, 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization.
CoRR, 2024
2023
CoRR, 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023
2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization.
J. Mach. Learn. Res., 2021
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
On the Information Complexity of Proper Learners for VC Classes in the Realizable Case.
CoRR, 2020
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability.
CoRR, 2020
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice.
CoRR, 2020
CoRR, 2020
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.
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
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization.
CoRR, 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 34th Annual ACM/IEEE Symposium on Logic in Computer Science, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018
2017
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy.
CoRR, 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence.
Proceedings of the Turing's Legacy: Developments from Turing's Ideas in Logic, 2014
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
CoRR, 2012
Random function priors for exchangeable arrays with applications to graphs and relational data.
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 Static Analysis - 18th International Symposium, 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
Proceedings of the 26th Annual IEEE Symposium on Logic in Computer Science, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Mathematical Theory and Computational Practice, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2004
Proceedings of the 6th Symposium on Operating System Design and Implementation (OSDI 2004), 2004
A Dynamic Technique for Eliminating Buffer Overflow Vulnerabilities (and Other Memory Errors).
Proceedings of the 20th Annual Computer Security Applications Conference (ACSAC 2004), 2004
1990
Proceedings of the Working Group on Ada Performance Issues 1990, 1990
Proceedings of the Working Group on Ada Performance Issues 1990, 1990
Proceedings of the Working Group on Ada Performance Issues 1990, 1990
Proceedings of the Working Group on Ada Performance Issues 1990, 1990
Proceedings of the Working Group on Ada Performance Issues 1990, 1990