Sai Ganesh Nagarajan

CoRR, 2024

Analyzing Dα seeding for k-means.

[BibT_eX]

[DOI]

Étienne Bamas

Ola Svensson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

An Analysis of $D^α$ seeding for $k$-means.

[BibT_eX]

[DOI]

Étienne Bamas

Ola Svensson

CoRR, 2023

Online Algorithms with Costly Predictions.

[BibT_eX]

[DOI]

Marina Drygala

Ola Svensson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach.

[BibT_eX]

[DOI]

Gerasimos Palaiopanos

Tushar Vaidya

Samson Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction.

[BibT_eX]

[DOI]

Entropy, 2021

Stochastic Multiplicative Weights Updates in Zero-Sum Games.

[BibT_eX]

[DOI]

James P. Bailey

CoRR, 2021

Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Efficient Statistics for Sparse Graphical Models from Truncated Samples.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics.

[BibT_eX]

[DOI]

David Balduzzi

Proceedings of the 37th International Conference on Machine Learning, 2020

Better depth-width trade-offs for neural networks through the lens of dynamical systems.

[BibT_eX]

[DOI]

Vaggos Chatziafratis

Proceedings of the 37th International Conference on Machine Learning, 2020

Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction.

[BibT_eX]

[DOI]

David Balduzzi

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

On the Analysis of EM for truncated mixtures of two Gaussians.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 2020

2019

Query-Based Sensors Selection for Collaborative Wireless Sensor Networks With Stochastic Energy Harvesting.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

On the Convergence of EM for truncated mixtures of two Gaussians.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2018

Change Detection of a Subset of High-Dimensional Time Series Data in Sensor Networks.

[BibT_eX]

[DOI]

Ido Nevat

Pengfei Zhang

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT.

[BibT_eX]

[DOI]

Tie Luo

Sai G. Nagarajan

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Three Body Problems in Evolutionary Game Dynamics: Convergence, Periodicity and Limit Cycles.

[BibT_eX]

[DOI]

Sameh Mohamed

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Secure Location of Things (SLOT): Mitigating Localization Spoofing Attacks in the Internet of Things.

[BibT_eX]

[DOI]

Pengfei Zhang

Ido Nevat

IEEE Internet Things J., 2017

Geo-Spatial Location Estimation for Internet of Things (IoT) Networks With One-Way Time-of-Arrival via Stochastic Censoring.

[BibT_eX]

[DOI]