Jeffrey Negrea

14 papers A* 5Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces.
CoRR
Alexander Terenin, Jeffrey Negrea
2025 J jnl
Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms.
CoRR
Xiaoyu Wang, Mikolaj J. Kasprzak, Jeffrey Negrea, Solesne Bourguin, Jonathan H. Huggins
2023 A* conf
Concept Algebra for (Score-Based) Text-Controlled Generative Models.
NeurIPS
Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
2023 J jnl
Concept Algebra for Text-Controlled Vision Models.
CoRR
Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch
2022 J jnl
Statistical Inference with Stochastic Gradient Algorithms.
CoRR
Jeffrey Negrea, Jun Yang, Haoyue Feng, Daniel M. Roy, Jonathan H. Huggins
2021 A* conf
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers.
NeurIPS
Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy
2021 J jnl
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers.
CoRR
Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy
2020 A* conf
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors.
ICML
Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy
2020 J jnl
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice.
CoRR
Blair L. Bilodeau, Jeffrey Negrea, Daniel M. Roy
2020 A* conf
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms.
NeurIPS
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite
2020 J jnl
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms.
CoRR
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite
2019 J jnl
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors.
CoRR
Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy
2019 A* conf
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates.
NeurIPS
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy
2019 J jnl
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates.
CoRR
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy