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Jeffrey Negrea
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2020 – today
- 2023
- [c5]Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch:
Concept Algebra for (Score-Based) Text-Controlled Generative Models. NeurIPS 2023 - [i7]Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch:
Concept Algebra for Text-Controlled Vision Models. CoRR abs/2302.03693 (2023) - 2022
- [i6]Jeffrey Negrea, Jun Yang, Haoyue Feng, Daniel M. Roy, Jonathan H. Huggins:
Statistical Inference with Stochastic Gradient Algorithms. CoRR abs/2207.12395 (2022) - 2021
- [c4]Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy:
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. NeurIPS 2021: 26237-26249 - [i5]Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy:
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. CoRR abs/2110.14804 (2021) - 2020
- [c3]Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy:
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors. ICML 2020: 7263-7272 - [c2]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 - [i4]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 abs/2004.12983 (2020) - [i3]Blair L. Bilodeau, Jeffrey Negrea, Daniel M. Roy:
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice. CoRR abs/2007.06552 (2020)
2010 – 2019
- 2019
- [c1]Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy:
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. NeurIPS 2019: 11013-11023 - [i2]Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy:
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. CoRR abs/1911.02151 (2019) - [i1]Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel M. Roy:
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors. CoRR abs/1912.04265 (2019)
Coauthor Index
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