Vidyasagar, M.

1. Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications
   2023/12/05 by Rajeeva L. Karandikar, M. Vidyasagar, Karandikar, Rajeeva L. +1 · 5 citations
   Computer Science · Decision Sciences · Engineering · #60G17 #62L20 #93D05 #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach
   2015/12/29 by Ahsen, M. Eren, Vidyasagar, M. · 1 citation
   #62J99 #FOS: Computer and information sciences #Machine Learning (stat.ML)
3. Convergence of Stochastic Approximation via Martingale and Converse Lyapunov Methods
   2022/05/03 by M. Vidyasagar, Vidyasagar, M. · 1 citation
   Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #60G44 #Advanced Thermodynamics and Statistical Mechanics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Stochastic processes and financial applications