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Verma, Nakul

  1. Biased Programmers? Or Biased Data? A Field Experiment in\n Operationalizing AI Ethics
    2020/12/03 by Bo Cowgill, Fabrizio Dell’Acqua, Cowgill, Bo +9 · 5 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 #FOS: Economics and business #General Economics (econ.GN)
  2. Solving Probability and Statistics Problems by Program Synthesis
    2021/11/16 by Leonard Tang, Elizabeth Ke, Tang, Leonard +7 · 1 voice · 1 citation
    Computer Science · #cs.LG #cs.AI #cs.CL #cs.PL
  3. Stochastic Neighbor Embedding under f-divergences
    2018/11/03 by Im, Daniel Jiwoong, Verma, Nakul, Branson, Kristin · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Sample complexity of learning Mahalanobis distance metrics
    2015/05/11 by Nakul Verma, Kristin Branson, Verma, Nakul +1 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
  5. A concentration theorem for projections
    2012/06/27 by Sanjoy Dasgupta, Daniel Hsu, Dasgupta, Sanjoy +3 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Mechanics and Entropy
  6. Noise-tolerant fair classification
    2019/01/30 by Alexandre Louis Lamy, Lamy, Alexandre Louis, Ziyuan Zhong +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  7. Solving Linear Algebra by Program Synthesis
    2021/11/16 by Iddo Drori, Nakul Verma, Drori, Iddo +1 · 1 voice
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Software Engineering Research #Teaching and Learning Programming #cs.AI #cs.CL #cs.LG
  8. Deep Autoregressive Models as Causal Inference Engines
    2024/09/27 by Im, Daniel Jiwoong, Zhang, Kevin, Verma, Nakul +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Diverse Inference and Verification for Advanced Reasoning
    2025/02/14 by Drori, Iddo, Longhitano, Gaston, Mao, Mao +11 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences