Daniel M. Roy
University of Toronto
H-index: 39
North America-Canada
Top articles of Daniel M. Roy
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets | Proceedings of the ACM on Programming Languages | Nate Ackerman Cameron E Freer Younesse Kaddar Jacek Karwowski Sean Moss | 2024/1/5 |
Simultaneous linear connectivity of neural networks modulo permutation | arXiv preprint arXiv:2404.06498 | Ekansh Sharma Devin Kwok Tom Denton Daniel M Roy David Rolnick | 2024/4/9 |
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization | arXiv preprint arXiv:2402.09327 | Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M Roy | 2024/2/14 |
The shaped transformer: Attention models in the infinite depth-and-width limit | Advances in Neural Information Processing Systems | Lorenzo Noci Chuning Li Mufan Li Bobby He Thomas Hofmann | 2024/2/13 |
Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization | Mahdi Haghifam Borja Rodríguez-Gálvez Ragnar Thobaben Mikael Skoglund Daniel M Roy | 2023/2/13 | |
de Finetti's theorem and the existence of regular conditional distributions and strong laws on exchangeable algebras | arXiv preprint arXiv:2312.16349 | Peter Potaptchik Daniel M Roy David Schrittesser | 2023/12/26 |
Existence of matching priors on compact spaces | Biometrika | Haosui Duanmu Daniel M Roy Aaron Smith | 2023/9/1 |
Relaxing the iid assumption: Adaptively minimax optimal regret via root-entropic regularization | The Annals of Statistics | Blair Bilodeau Jeffrey Negrea Daniel M Roy | 2023/8 |
Minimax rates for conditional density estimation via empirical entropy | The Annals of Statistics | Blair Bilodeau Dylan J Foster Daniel M Roy | 2023/4 |
Statistical inference with stochastic gradient algorithms | arXiv preprint arXiv | Jeffrey Negrea Jun Yang Haoyue Feng Daniel M Roy Jonathan H Huggins | 2022/11/14 |
Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics | arXiv preprint arXiv:2207.12395 | Jeffrey Negrea Jun Yang Haoyue Feng Daniel M Roy Jonathan H Huggins | 2022/7/25 |
Statistical minimax theorems via nonstandard analysis | arXiv preprint arXiv:2212.13250 | Haosui Duanmu Daniel M Roy David Schrittesser | 2022/12/26 |
Understanding generalization via leave-one-out conditional mutual information | Mahdi Haghifam Shay Moran Daniel M Roy Gintare Karolina Dziugiate | 2022/6/26 | |
Pruning’s effect on generalization through the lens of training and regularization | Advances in Neural Information Processing Systems | Tian Jin Michael Carbin Dan Roy Jonathan Frankle Gintare Karolina Dziugaite | 2022/12/6 |
The neural covariance sde: Shaped infinite depth-and-width networks at initialization | Advances in Neural Information Processing Systems | Mufan Li Mihai Nica Dan Roy | 2022/12/6 |
Adaptively exploiting d-separators with causal bandits | Advances in Neural Information Processing Systems | Blair Bilodeau Linbo Wang Dan Roy | 2022/12/6 |
On the role of data in PAC-Bayes bounds | Gintare Karolina Dziugaite Kyle Hsu Waseem Gharbieh Gabriel Arpino Daniel M Roy | 2021 | |
Minimax optimal quantile and semi-adversarial regret via root-logarithmic regularizers | Advances in Neural Information Processing Systems | Jeffrey Negrea Blair Bilodeau Nicolò Campolongo Francesco Orabona Dan Roy | 2021/12/6 |
NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization | Journal of Machine Learning Research | Ali Ramezani-Kebrya Fartash Faghri Ilya Markov Vitalii Aksenov Dan Alistarh | 2021 |
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization | Advances in Neural Information Processing Systems | Mufan Li Mihai Nica Dan Roy | 2021/12/6 |
Co-Authors
