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Edgar Dobriban

  1. Jailbreaking Black Box Large Language Models in Twenty Queries
    2023/10/12 by Patrick Chao, Chao, Patrick, Alexander Robey +9 · 292 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  2. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
    2024/03/28 by Patrick Chao, Chao, Patrick, Edoardo Debenedetti +21 · 124 citations
    Computer Science · #Authorship Attribution and Profiling #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  3. High-Dimensional Asymptotics of Prediction: Ridge Regression and\n Classification
    2015/07/10 by Edgar Dobriban, Stefan Wager, Dobriban, Edgar +1 · 23 citations
    Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Random Matrices and Applications #Statistics Theory (math.ST) #Theoretical and Computational Physics
  4. A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
    2023/10/11 by Behrad Moniri, Donghwan Lee, Moniri, Behrad +5 · 10 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
  5. PAC Prediction Sets Under Covariate Shift
    2021/06/17 by Sangdon Park, Edgar Dobriban, Park, Sangdon +5 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
  6. Implicit Regularization and Convergence for Weight Normalization
    2019/11/18 by Xiaoxia Wu, Wu, Xiaoxia, Edgar Dobriban +13 · 5 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  7. Uncertainty in Language Models: Assessment through Rank-Calibration
    2024/04/04 by Xinmeng Huang, Huang, Xinmeng, Shuo Li +13 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  8. Evaluating the Performance of Large Language Models via Debates
    2024/06/16 by Behrad Moniri, Hamed Hassani, Moniri, Behrad +3 · 10 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  9. T-Cal: An optimal test for the calibration of predictive models
    2022/03/03 by Donghwan Lee, Xinmeng Huang, Lee, Donghwan +5 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Machine Learning and Algorithms
  10. One-Shot Safety Alignment for Large Language Models via Optimal Dualization
    2024/05/29 by Xinmeng Huang, Shuo Li, Huang, Xinmeng +9 · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  11. Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
    2023/06/28 by Hongxiang Qiu, Qiu, Hongxiang, Eric Tchetgen Tchetgen +3 · 4 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME) #Statistics Theory (math.ST)
  12. Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
    2022/06/16 by Yinshuang Xu, Xu, Yinshuang, Jiahui Lei +5 · 3 citations
    Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Model Reduction and Neural Networks #Radiomics and Machine Learning in Medical Imaging
  13. SymmPI: Predictive Inference for Data with Group Symmetries
    2023/12/26 by Edgar Dobriban, Dobriban, Edgar, Mengxin Yu +1 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Methodology (stat.ME) #Statistics Theory (math.ST)
  14. The Implicit Regularization of Stochastic Gradient Flow for Least Squares
    2020/03/17 by Alnur Ali, Edgar Dobriban, Ali, Alnur +3 · 3 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  15. Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
    2022/11/09 by Matteo Sesia, Stefano Favaro, Sesia, Matteo +3 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  16. Provable tradeoffs in adversarially robust classification
    2020/06/09 by Edgar Dobriban, Dobriban, Edgar, Hamed Hassani +5 · 2 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
    2021/03/17 by Yaodong Yu, Zitong Yang, Yu, Yaodong +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Fair Bayes-Optimal Classifiers Under Predictive Parity
    2022/05/15 by Xianli Zeng, Edgar Dobriban, Zeng, Xianli +3 · 2 citations
    Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
    2024/02/05 by Xianli Zeng, Zeng, Xianli, Guang Cheng +4 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
    2022/01/07 by Ramneet Kaur, Susmit Jha, Kaur, Ramneet +11 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Demystifying Disagreement-on-the-Line in High Dimensions
    2023/01/31 by Donghwan Lee, Lee, Donghwan, Behrad Moniri +7 · 2 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  22. Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
    2025/02/18 by Sunay Joshi, Joshi, Sunay, Shayan Kiyani +7 · 4 citations
    Computer Science · #Gaussian Processes and Bayesian Inference
  23. Batch Predictive Inference
    2024/09/21 by Yonghoon Lee, Lee, Yonghoon, Eric Tchetgen Tchetgen +3 · 3 citations
    Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  24. Sparse sketches with small inversion bias
    2020/11/21 by Michał Dereziński, Zhenyu Liao, Dereziński, Michał +5 · 1 citation
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
  25. Conditional Predictive Inference for Missing Outcomes
    2024/03/07 by Yonghoon Lee, Lee, Yonghoon, Edgar Dobriban +3 · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning in Healthcare #Methodology (stat.ME) #Statistical Methods and Inference
  26. Learning Augmentation Distributions using Transformed Risk Minimization
    2021/11/16 by Evangelos Chatzipantazis, Chatzipantazis, Evangelos, Stefanos Pertigkiozoglou +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  27. Selecting the number of components in PCA via random signflips
    2020/12/05 by David Hong, Yue Sheng, Hong, David +3 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Random Matrices and Applications #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques #Theoretical and Computational Physics
  28. Foundations of Top-k Decoding For Language Models
    2025/05/25 by Georgy Noarov, Noarov, Georgy, Sushanta Mallick +13 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Natural Language Processing Techniques #Statistics Theory (math.ST)
  29. Minimax Optimal Fair Classification with Bounded Demographic Disparity
    2024/03/27 by Xianli Zeng, Guang Cheng, Zeng, Xianli +3 · 1 citation
    Social Sciences · #Computers and Society (cs.CY) #Demographic Trends and Gender Preferences #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  30. Statistical Early Stopping for Reasoning Models
    2026/02/15 by Yangxinyu Xie, Tao Wang, Soham Mallick +6 · 2 citations
    #cs.AI #cs.LG #stat.ML
  31. Conformal Information Pursuit for Interactively Guiding Large Language Models
    2025/07/04 by Kwan Ho Ryan Chan, Yuyan Ge, Chan, Kwan Ho Ryan +7 · 2 citations
    Computer Science · #Topic Modeling
  32. Watermarking Language Models with Error Correcting Codes
    2024/06/12 by Patrick Chao, Yan Sun, Chao, Patrick +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.CR #cs.LG