Robert J. Kunsch

1. Solvable Integration Problems and Optimal Sample Size Selection
   2018/05/22 by Robert J. Kunsch, Kunsch, Robert J., Erich Novak +3 · 3 citations
   Computer Science · Mathematics · #62D99 #62L12 #65C05 #65Y20 #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning and Algorithms #Numerical Analysis (math.NA) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
2. Randomized approximation of summable sequences -- adaptive and non-adaptive
   2023/08/03 by Robert J. Kunsch, Kunsch, Robert, Erich Novak +3 · 1 citation
   Economics, Econometrics and Finance · Mathematics · #46 (secondary) #60 (secondary) #65C (primary) #65D (secondary) #FOS: Mathematics #Functional Analysis (math.FA) #Mathematical Approximation and Integration #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Inference #Stochastic processes and financial applications
3. High-Dimensional Function Approximation: Breaking the Curse with Monte Carlo Methods
   2017/04/26 by Robert J. Kunsch, Kunsch, Robert J. · 1 citation
   Mathematics · #41A17 #41A25 #41A46 #41A63 #41A65 #65C05 #65J05 #FOS: Mathematics #Mathematical Approximation and Integration #Numerical Analysis (math.NA)
4. Sharp bounds for non-adaptive randomized approximation of high-dimensional noisy vectors
   2026/07/31 by Robert J. Kunsch, Marcin Wnuk
   Mathematics · Computer Science · #math.NA #cs.NA #msc:65C #msc:65D #msc:46 #msc:60