Shiva Prasad Kasiviswanathan
- Subsampled R 'enyi Differential Privacy and Analytical Moments\n Accountant
2018/07/31 by Yu-Xiang Wang, Borja Balle, Wang, Yu-Xiang +3 · 28 citations
Computer Science · Decision Sciences · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Probability and Risk Models
- Simple Black-Box Adversarial Perturbations for Deep Networks
2016/12/19 by Nina Narodytska, Shiva Prasad Kasiviswanathan, Narodytska, Nina +1 · 8 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Composition Attacks and Auxiliary Information in Data Privacy
2008/03/01 by Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Ganta, Srivatsava Ranjit +3 · 3 citations
Computer Science · Social Sciences · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
- Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
2012/06/27 by Haim Avron, Avron, Haim, Satyen Kale +5 · 4 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Efficient Intervention Design for Causal Discovery with Latents
2020/05/24 by Raghavendra Addanki, Addanki, Raghavendra, Shiva Prasad Kasiviswanathan +5 · 2 citations
Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Data Quality and Management #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Sequential Kernelized Independence Testing
2022/12/14 by Aleksandr Podkopaev, Podkopaev, Aleksandr, Patrick Blöbaum +5 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
- Debiasing Conditional Stochastic Optimization
2023/04/20 by Lie He, Shiva Prasad Kasiviswanathan, He, Lie +1 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Risk and Portfolio Optimization
- The PetShop Dataset -- Finding Causes of Performance Issues across Microservices
2023/11/08 by Michaela Hardt, William R. Orchard, Hardt, Michaela +7 · 1 citation
Computer Science · #Cloud Computing and Resource Management #Distributed #E.0 #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #Software System Performance and Reliability #and Cluster Computing (cs.DC)
- Restricted Isometry Property under High Correlations
2019/04/11 by Shiva Prasad Kasiviswanathan, Kasiviswanathan, Shiva Prasad, Mark Rudelson +1 · 1 citation
Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques
- Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters
2024/08/18 by Abhinandan Dalal, Dalal, Abhinandan, Patrick Blöbaum +5 · 1 citation
Computer Science · Engineering · #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)