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Kiyavash, Negar

  1. Learning Causal Structures Using Regression Invariance
    2017/05/26 by Ghassami, AmirEmad, Salehkaleybar, Saber, Kiyavash, Negar +1 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. A Recursive Markov Boundary-Based Approach to Causal Structure Learning
    2020/10/10 by Mokhtarian, Ehsan, Akbari, Sina, Ghassami, AmirEmad +1 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Improved Achievability and Converse Bounds for Erdős-Rényi Graph Matching
    2016/02/02 by Cullina, Daniel, Kiyavash, Negar · 3 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  4. The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
    2021/03/29 by Zhang, Siqi, Yang, Junchi, Guzmán, Cristóbal +2 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  5. Exact alignment recovery for correlated Erd Hos-R 'enyi graphs
    2017/11/17 by Daniel Cullina, Negar Kiyavash, Cullina, Daniel +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Bayesian Methods and Mixture Models #Data Quality and Management #FOS: Computer and information sciences #Graph Theory and Algorithms #Information Theory (cs.IT) #Machine Learning (cs.LG) #Topological and Geometric Data Analysis
  6. Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
    2019/08/11 by Salehkaleybar, Saber, Ghassami, AmirEmad, Kiyavash, Negar +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Causal Effect Identification with Context-specific Independence Relations of Control Variables
    2021/10/22 by Mokhtarian, Ehsan, Jamshidi, Fateme, Etesami, Jalal +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
    2020/02/22 by Junchi Yang, Negar Kiyavash, Yang, Junchi +3 · 5 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Domain Adaptation and Few-Shot Learning
  9. Impact of Data Processing on Fairness in Supervised Learning
    2021/02/03 by Khodadadian, Sajad, Ghassami, AmirEmad, Kiyavash, Negar · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  10. Recursive Causal Structure Learning in the Presence of Latent Variables\n and Selection Bias
    2021/10/22 by Sina Akbari, Akbari, Sina, Ehsan Mokhtarian +5 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic
  11. Momentum-Based Policy Gradient with Second-Order Information
    2022/05/17 by Saber Salehkaleybar, Salehkaleybar, Saber, Sadegh Khorasani +7 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research
  12. Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
    2018/02/05 by AmirEmad Ghassami, Ghassami, AmirEmad, Saber Salehkaleybar +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Recursive Causal Discovery
    2024/03/14 by Mokhtarian, Ehsan, Elahi, Sepehr, Akbari, Sina +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Sharp Analysis of Stochastic Optimization under Global Kurdyka-Łojasiewicz Inequality
    2022/10/04 by Fatkhullin, Ilyas, Etesami, Jalal, He, Niao +1 · 2 citations
    #90C15 #90C26 #FOS: Mathematics #Optimization and Control (math.OC)
  15. Directed Information Graphs
    2012/04/09 by Quinn, Christopher J., Kiyavash, Negar, Coleman, Todd P. · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (stat.ML)
  16. Non-asymptotic Upper Bounds for Deletion Correcting Codes
    2012/11/13 by Kulkarni, Ankur A., Kiyavash, Negar · 1 citation
    #05C65 #68P30 #68R99 #90C27 #94A15 #94B75 #94B99 #Combinatorics (math.CO) #E.4 #F.2.2 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #G.2.1 #G.2.2 #Information Theory (cs.IT) #Number Theory (math.NT) #Optimization and Control (math.OC)
  17. LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
    2020/06/17 by AhmadiTeshnizi, Ali, Salehkaleybar, Saber, Kiyavash, Negar · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
    2023/12/11 by Yuqin Yang, Saber Salehkaleybar, Yang, Yuqin +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  19. Interaction Information for Causal Inference: The Case of Directed Triangle
    2017/01/30 by Ghassami, AmirEmad, Kiyavash, Negar · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  20. Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment
    2018/09/10 by Cullina, Daniel, Kiyavash, Negar, Mittal, Prateek +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  21. A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
    2022/05/20 by Ehsan Mokhtarian, Saber Salehkaleybar, Mokhtarian, Ehsan +5 · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  22. Revisiting the General Identifiability Problem
    2022/06/02 by Kivva, Yaroslav, Mokhtarian, Ehsan, Etesami, Jalal +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function
    2022/05/25 by Saeed Masiha, Masiha, Saeed, Saber Salehkaleybar +7 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  24. Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
    2022/08/14 by Mokhtarian, Ehsan, Khorasani, Mohammadsadegh, Etesami, Jalal +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  25. Multi-Domain Causal Discovery in Bijective Causal Models
    2025/04/30 by Jalaldoust, Kasra, Salehkaleybar, Saber, Kiyavash, Negar · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  26. Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
    2022/11/08 by Yang, Yuqin, Ghassami, AmirEmad, Nafea, Mohamed +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  27. A Cross-Moment Approach for Causal Effect Estimation
    2023/06/09 by Yaroslav Kivva, Kivva, Yaroslav, Saber Salehkaleybar +3 · 1 citation
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Statistics Theory (math.ST) #and Science (cs.CE)
  28. Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework
    2023/12/27 by Jalal Etesami, Etesami, Jalal, Ali Habibnia +3 · 1 citation
    Economics, Econometrics and Finance · Computer Science · #Complex Systems and Time Series Analysis #Blockchain Technology Applications and Security #Market Dynamics and Volatility
  29. On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
    2023/10/20 by Jamshidi, Fateme, Ganassali, Luca, Kiyavash, Negar · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Best Group Identification in Multi-Objective Bandits
    2025/05/23 by Shahverdikondori, Mohammad, Badri, Mohammad Reza, Kiyavash, Negar · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
    2025/06/05 by Tramontano, Daniele, Kivva, Yaroslav, Salehkaleybar, Saber +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  32. Interventional Experiment Design for Causal Structure Learning
    2019/10/12 by Ghassami, AmirEmad, Salehkaleybar, Saber, Kiyavash, Negar · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)