Jeffrey Negrea

Publications

Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy-Gradient Iterative Algorithms. Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors. Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy. At International Conference on Machine Learning (ICML), 2020.

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy. At Workshop at the International Conference on Machine Learning (ICML), 2019.