1 – 11 of 11
- show: 100
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2022
-
Mark
Sparse index clones via the sorted ℓ1-Norm
(
- Contribution to journal › Article
-
Mark
Efficient Proximal Mapping Computation for Low-Rank Inducing Norms
(
- Contribution to journal › Article
- 2021
-
Mark
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
(
- Contribution to journal › Article
- 2020
-
Mark
Learning hidden Markov models with persistent states by penalizing jumps
(
- Contribution to journal › Article
-
Mark
The Strong Screening Rule For SLOPE
2020) Neural Information Processing Systems In Advances in Neural Information Processing Systems p.1-12(
- Contribution to journal › Article
-
Mark
An unbiased approach to compressed sensing
(
- Contribution to journal › Article
- 2019
-
Mark
On Convex Envelopes and Regularization of Non-convex Functionals Without Moving Global Minima
(
- Contribution to journal › Article
- 2018
-
Mark
Hyperparameter-selection for sparse regression : A probablistic approach
2018) 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 2017-October. p.853-857(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Low-rank inducing norms with optimality interpretations∗
(
- Contribution to journal › Article
- 2017
-
Mark
Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing
2017)(
- Thesis › Doctoral thesis (compilation)
- 2014
-
Mark
Higher-Order Regularization in Computer Vision
2014)(
- Thesis › Doctoral thesis (monograph)