Name: | Dominik Csiba |
---|---|
Affiliation: | The University of Edinburgh |
E-mail: | only provided to users who are logged into UoE seminar site |
Last login: | 2017-01-05 21:47:11 |
Public lists managed by Dominik Csiba
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Talks given by Dominik Csiba that are known to this site:
Talks organised by Dominik Csiba:
This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Dominik Csiba actually organised the talk, they may have been responsible only for entering the talk into the University Seminar Site system.
- Online ad allocation
- Differentially Private Empirical Risk Minimization
- Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
- An Analytical Framework for Consensus-based Global Optimization Method
- Train faster, generalize better: Stability of stochastic gradient descent [Hardt, Recht, Singer, 2016]
- Large-Scale Gaussian Process Regression via Doubly Stochastic Gradient Descent
- Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent
- Variance Reduction for Faster Non-Convex Optimization
- Fitting real-valued conditional distributions
- Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
Talks created by Dominik Csiba:
- Online ad allocation
- Differentially Private Empirical Risk Minimization
- Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
- An Analytical Framework for Consensus-based Global Optimization Method
- Train faster, generalize better: Stability of stochastic gradient descent [Hardt, Recht, Singer, 2016]
- Large-Scale Gaussian Process Regression via Doubly Stochastic Gradient Descent
- Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent
- Variance Reduction for Faster Non-Convex Optimization
- Fitting real-valued conditional distributions
- Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure