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Jeffrey Negrea
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Information-theoretic generalization bounds for SGLD via data-dependent estimates
J Negrea, M Haghifam, GK Dziugaite, A Khisti, DM Roy
Advances in Neural Information Processing Systems 32, 2019
742019
Sharpened generalization bounds based on conditional mutual information and an application to noisy, iterative algorithms
M Haghifam, J Negrea, A Khisti, DM Roy, GK Dziugaite
Advances in Neural Information Processing Systems 33, 2020
492020
In defense of uniform convergence: Generalization via derandomization with an application to interpolating predictors
J Negrea, GK Dziugaite, D Roy
Proceedings of the 37th International Conference on Machine Learning, 2020
222020
Approximations of Geometrically Ergodic Reversible Markov Chains
J Negrea, JS Rosenthal
Advances in Applied Probability 53 (4), 2021
13*2021
Relaxing the IID Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization
B Bilodeau, J Negrea, DM Roy
arXiv preprint arXiv:2007.06552, 2020
3*2020
Minimax optimal quantile and semi-adversarial regret via root-logarithmic regularizers
J Negrea, B Bilodeau, N Campolongo, F Orabona, D Roy
Advances in Neural Information Processing Systems 34, 26237-26249, 2021
22021
Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-IID Targets
J Negrea
arXiv preprint arXiv:1902.06603, 2019
12019
Approximations and scaling limits of Markov chains with applications to MCMC and approximate inference
J Negrea
University of Toronto, 2022
2022
STATISTICAL INFERENCE WITH STOCHASTIC GRADIENT ALGORITHMS
J Negrea, J Yang, H Feng, DM Roy, JH Huggins
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Articles 1–9