Anastasios Kyrillidis

According to our database1, Anastasios Kyrillidis
  • authored at least 63 papers between 2011 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Statistical inference using SGD.
CoRR, 2017

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Location Estimation Using Crowdsourced Spatial Relations.
ACM Trans. Spatial Algorithms and Systems, 2016

Group-Sparse Model Selection: Hardness and Relaxations.
IEEE Trans. Information Theory, 2016

Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions.
CoRR, 2016

Learning Sparse Additive Models with Interactions in High Dimensions.
CoRR, 2016

A single-phase, proximal path-following framework.
CoRR, 2016

Trading-off variance and complexity in stochastic gradient descent.
CoRR, 2016

Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach.
CoRR, 2016

Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably.
CoRR, 2016

Provable non-convex projected gradient descent for a class of constrained matrix optimization problems.
CoRR, 2016

Convex block-sparse linear regression with expanders - provably.
CoRR, 2016

Bipartite Correlation Clustering - Maximizing Agreements.
CoRR, 2016

A simple and provable algorithm for sparse diagonal CCA.
CoRR, 2016

A Simple and Provable Algorithm for Sparse Diagonal CCA.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Dropping Convexity for Faster Semi-definite Optimization.
Proceedings of the 29th Conference on Learning Theory, 2016

Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Learning Sparse Additive Models with Interactions in High Dimensions.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Convex Block-sparse Linear Regression with Expanders - Provably.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bipartite Correlation Clustering: Maximizing Agreements.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Compressive mining: fast and optimal data mining in the compressed domain.
VLDB J., 2015

Composite self-concordant minimization.
Journal of Machine Learning Research, 2015

Structured Sparsity: Discrete and Convex approaches.
CoRR, 2015

Linear Inverse Problems with Norm and Sparsity Constraints.
CoRR, 2015

Dropping Convexity for Faster Semi-definite Optimization.
CoRR, 2015

Sparse PCA via Bipartite Matchings.
CoRR, 2015

Stay on path: PCA along graph paths.
CoRR, 2015

Sparse PCA via Bipartite Matchings.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Stay on path: PCA along graph paths.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Fixed-Rank Rayleigh Quotient Maximization by an MPSK Sequence.
IEEE Trans. Communications, 2014

An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization.
SIAM Journal on Optimization, 2014

Matrix Recipes for Hard Thresholding Methods.
Journal of Mathematical Imaging and Vision, 2014

Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain.
CoRR, 2014

Location Estimation Using Crowdsourced Geospatial Narratives.
CoRR, 2014

Provable Deterministic Leverage Score Sampling.
CoRR, 2014

Non-uniform Feature Sampling for Decision Tree Ensembles.
CoRR, 2014

Approximate Matrix Multiplication with Application to Linear Embeddings.
CoRR, 2014

Scalable sparse covariance estimation via self-concordance.
CoRR, 2014

Fixed-rank Rayleigh Quotient Maximization by an $M$PSK Sequence.
CoRR, 2014

Provable deterministic leverage score sampling.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Approximate matrix multiplication with application to linear embeddings.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Non-uniform feature sampling for decision tree ensembles.
Proceedings of the IEEE International Conference on Acoustics, 2014

Improving Co-Cluster Quality with Application to Product Recommendations.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Scalable Sparse Covariance Estimation via Self-Concordance.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Group-Sparse Model Selection: Hardness and Relaxations
CoRR, 2013

Randomized Low-Memory Singular Value Projection
CoRR, 2013

Composite Self-Concordant Minimization.
CoRR, 2013

On Quantifying Qualitative Geospatial Data: A Probabilistic Approach.
CoRR, 2013

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions.
Proceedings of the 30th International Conference on Machine Learning, 2013

Sparse projections onto the simplex.
Proceedings of the 30th International Conference on Machine Learning, 2013

Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse simplex projections for portfolio optimization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

On quantifying qualitative geospatial data: a probabilistic approach.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2013

2012
Multi-Way Compressed Sensing for Sparse Low-Rank Tensors.
IEEE Signal Process. Lett., 2012

Sparse projections onto the simplex
CoRR, 2012

Matrix Recipes for Hard Thresholding Methods
CoRR, 2012

Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction
CoRR, 2012

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm
CoRR, 2012

MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Combinatorial selection and least absolute shrinkage via the Clash algorithm.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Hard thresholding with norm constraints.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Rank-deficient quadratic-form maximization over M-phase alphabet: Polynomial-complexity solvability and algorithmic developments.
Proceedings of the IEEE International Conference on Acoustics, 2011

Recipes on hard thresholding methods.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011


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