# N. Denizcan Vanli

According to our database

Collaborative distances:

^{1}, N. Denizcan Vanli authored at least 35 papers between 2012 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Nonlinear regression via incremental decision trees.

Pattern Recognition, 2019

2018

Global Convergence Rate of Proximal Incremental Aggregated Gradient Methods.

SIAM Journal on Optimization, 2018

2017

Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks.

IEEE Trans. Network Science and Engineering, 2017

Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines.

IEEE Trans. Neural Netw. Learning Syst., 2017

Adaptive and efficient nonlinear channel equalization for underwater acoustic communication.

Physical Communication, 2017

When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Sequential Prediction Over Hierarchical Structures.

IEEE Trans. Signal Processing, 2016

Online Classification via Self-Organizing Space Partitioning.

IEEE Trans. Signal Processing, 2016

Growth optimal investment in discrete-time markets with proportional transaction costs.

Digital Signal Processing, 2016

Online adaptive hierarchical space partitioning classifier.

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Adaptive hierarchical space partitioning for online classification.

Proceedings of the 24th European Signal Processing Conference, 2016

Global convergence rate of incremental aggregated gradient methods for nonsmooth problems.

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds.

IEEE Trans. Neural Netw. Learning Syst., 2015

Robust least squares methods under bounded data uncertainties.

Digital Signal Processing, 2015

Universal online prediction via order preserving patterns.

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Efficient and distributed tracking of evolving state.

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Twice-universal piecewise linear regression via infinite depth context trees.

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Scalable Approach for Online Hierarchical Big Data Mining.

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Online Nonlinear Classification for High-Dimensional Data.

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Optimal and Efficient Distributed Online Learning for Big Data.

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees.

IEEE Trans. Signal Processing, 2014

A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost.

IEEE Trans. Signal Processing, 2014

Competitive linear MMSE estimation under structured data uncertainties.

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Sequential nonlinear regression via context trees.

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust set-membership filtering algorithms against impulsive noise.

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust regularized least squares estimation in the presence of bounded data uncertainties.

Proceedings of the IEEE International Conference on Acoustics, 2014

Logarithmic regret bound over diffusion based distributed estimation.

Proceedings of the IEEE International Conference on Acoustics, 2014

Improved convergence performance of adaptive algorithms through logarithmic cost.

Proceedings of the IEEE International Conference on Acoustics, 2014

Energy consumption forecasting via order preserving pattern matching.

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Communication efficient channel estimation over distributed networks.

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Comprehensive lower bounds on sequential prediction.

Proceedings of the 22nd European Signal Processing Conference, 2014

Piecewise nonlinear regression via decision adaptive trees.

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Optimum Power Randomization for the Minimization of Outage Probability.

IEEE Trans. Wireless Communications, 2013

2012

Optimum Power Allocation for Average Power Constrained Jammers in the Presence of Non-Gaussian Noise.

IEEE Communications Letters, 2012

Convexity properties of outage probability under rayleigh fading.

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012