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Calmon, Flavio P.

  1. Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
    2024/02/16 by Usha Bhalla, Bhalla, Usha, Alex Oesterling +8 · 2 voices · 28 citations
    Computer Science · #Bayesian Modeling and Causal Inference #cs.CV #cs.LG
  2. CPR: Classifier-Projection Regularization for Continual Learning
    2020/06/12 by Cha, Sungmin, Hsu, Hsiang, Hwang, Taebaek +2 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Repairing without Retraining: Avoiding Disparate Impact with\n Counterfactual Distributions
    2019/01/29 by Hao Wang, Wang, Hao, Berk Ustun +3 · 6 citations
    Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  4. Three Variants of Differential Privacy: Lossless Conversion and\n Applications
    2020/08/14 by Shahab Asoodeh, Jiachun Liao, Asoodeh, Shahab +7 · 5 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  5. Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime
    2017/04/26 by Jiachun Liao, Lalitha Sankar, Liao, Jiachun +5 · 4 citations
    Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Wireless Communication Security Techniques #Distributed Sensor Networks and Detection Algorithms
  6. Privacy with Estimation Guarantees
    2017/10/02 by Wang, Hao, Vo, Lisa, Calmon, Flavio P. +3 · 3 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  7. Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
    2023/01/27 by Wang, Hao, He, Luxi, Gao, Rui +1 · 5 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
    2021/09/21 by Jeong, Haewon, Wang, Hao, Calmon, Flavio P. · 3 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Strong Data Processing Inequalities for Input Constrained Additive Noise Channels
    2015/12/20 by Flávio P. Calmon, Calmon, Flavio P., Yury Polyanskiy +3 · 2 citations
    Engineering · Computer Science · #Wireless Communication Security Techniques #Distributed Sensor Networks and Detection Algorithms #Error Correcting Code Techniques
  10. Hypothesis Testing under Maximal Leakage Privacy Constraints
    2017/01/24 by Jiachun Liao, Liao, Jiachun, Lalitha Sankar +5 · 2 citations
    Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Privacy-Preserving Technologies in Data #Wireless Communication Security Techniques
  11. On the Robustness of Information-Theoretic Privacy Measures and Mechanisms
    2018/11/14 by Diaz, Mario, Wang, Hao, Calmon, Flavio P. +1 · 2 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  12. Algorithmic Arbitrariness in Content Moderation
    2024/02/26 by Gomez, Juan Felipe, Machado, Caio Vieira, Paes, Lucas Monteiro +1 · 4 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  13. Fair Machine Unlearning: Data Removal while Mitigating Disparities
    2023/07/27 by Alex Oesterling, Jiaqi Ma, Oesterling, Alex +5 · 3 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Higher Education Learning Practices #Machine Learning (cs.LG)
  14. Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
    2022/06/15 by Alghamdi, Wael, Hsu, Hsiang, Jeong, Haewon +4 · 2 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  15. Principal Inertia Components and Applications
    2017/04/03 by Calmon, Flavio P., Makhdoumi, Ali, Médard, Muriel +3 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  16. Privacy Under Hard Distortion Constraints
    2018/05/31 by Liao, Jiachun, Kosut, Oliver, Sankar, Lalitha +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  17. Soft Best-of-n Sampling for Model Alignment
    2025/05/06 by Claudio Mayrink Verdun, Alex Oesterling, Verdun, Claudio Mayrink +5 · 5 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Machine Learning and Data Classification #Reservoir Engineering and Simulation Methods
  18. A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via\n f-Divergences
    2020/01/16 by Shahab Asoodeh, Jiachun Liao, Asoodeh, Shahab +7 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  19. Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
    2021/02/05 by Hao Wang, Rui Gao, Wang, Hao +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  20. Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
    2023/03/10 by Haitong Ma, Tianpeng Zhang, Ma, Haitong +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Multiagent Systems (cs.MA)
  21. Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence
    2021/02/02 by Asoodeh, Shahab, Aliakbarpour, Maryam, Calmon, Flavio P. · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
    2023/09/28 by Cadambe, Viveck R., Devulapalli, Ateet, Jeong, Haewon +1 · 1 citation
    #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  23. Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
    2024/07/03 by Sajani Vithana, Viveck R. Cadambe, Vithana, Sajani +5 · 1 citation
    Computer Science · Decision Sciences · #Cryptography and Security (cs.CR) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Probability and Risk Models