scientific article; zbMATH DE number 7625199
From MaRDI portal
Publication:5054653
No author found.
Publication date: 29 November 2022
Full work available at URL: https://jmlr.csail.mit.edu/papers/v23/21-0560.html
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Concentration inequalities and moment bounds for sample covariance operators
- User-friendly tail bounds for sums of random matrices
- Moment inequalities for sums of dependent random variables under projective conditions
- Online estimation of the geometric median in Hilbert spaces: nonasymptotic confidence balls
- Surprises in high-dimensional ridgeless least squares interpolation
- Statistical inference for model parameters in stochastic gradient descent
- Algorithms of robust stochastic optimization based on mirror descent method
- Efficient learning with robust gradient descent
- Asymptotic and finite-sample properties of estimators based on stochastic gradients
- An optimal algorithm for stochastic strongly-convex optimization
- Robust Stochastic Approximation Approach to Stochastic Programming
- A theory of the learnable
- Acceleration of Stochastic Approximation by Averaging
- Stochastic Model-Based Minimization of Weakly Convex Functions
- Optimization Methods for Large-Scale Machine Learning
- Making the Last Iterate of SGD Information Theoretically Optimal
- Exact moderate and large deviations for linear processes
- A Stochastic Approximation Method
- Approximation Methods which Converge with Probability one
- On a Stochastic Approximation Method
- Large deviations of sums of independent random variables
- Stochastic approximation
- Online Covariance Matrix Estimation in Stochastic Gradient Descent
