Jeffrey Negrea

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Statistical Inference

Conditional Mutual Information

Iterative Algorithms

Top Venues

Publications

Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Concept Algebra for (Score-Based) Text-Controlled Generative Models. NeurIPS (2023)
Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
Concept Algebra for Text-Controlled Vision Models. CoRR (2023)
Jeffrey Negrea, Jun Yang, Haoyue Feng, Daniel M. Roy, Jonathan H. Huggins
Statistical Inference with Stochastic Gradient Algorithms. CoRR (2022)
Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Dan Roy
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. NeurIPS (2021)
Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. CoRR (2021)
Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel Roy
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors. ICML (2020)
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms. NeurIPS (2020)
Blair Bilodeau, Jeffrey Negrea, Daniel M. Roy
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice. CoRR (2020)
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms. CoRR (2020)
Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors. CoRR (2019)
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. NeurIPS (2019)
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. CoRR (2019)