Samet Oymak
Orcid: 0000-0001-5203-0752
According to our database1,
Samet Oymak
authored at least 116 papers
between 2010 and 2024.
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Bibliography
2024
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Control. Syst. Lett., 2023
Noise in the reverse process improves the approximation capabilities of diffusion models.
CoRR, 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation.
CoRR, 2023
CoRR, 2023
Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning.
CoRR, 2023
Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Revisiting Ho-Kalman-Based System Identification: Robustness and Finite-Sample Analysis.
IEEE Trans. Autom. Control., 2022
J. Mach. Learn. Res., 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
2021
IEEE Signal Process. Lett., 2021
Generating Predictable and Adaptive Dialog Policies in Single- and Multi-domain Goal-oriented Dialog Systems.
Int. J. Semantic Comput., 2021
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds.
CoRR, 2021
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
A-GWR: Fast and Accurate Geospatial Inference via Augmented Geographically Weighted Regression.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Quickly Finding the Best Linear Model in High Dimensions via Projected Gradient Descent.
IEEE Trans. Signal Process., 2020
Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks.
IEEE J. Sel. Areas Inf. Theory, 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training.
CoRR, 2020
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian.
CoRR, 2019
Towards moderate overparameterization: global convergence guarantees for training shallow neural networks.
CoRR, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
CoRR, 2018
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
IEEE Trans. Signal Process., 2017
SIAM J. Optim., 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
2015
IEEE Trans. Inf. Theory, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
The proportional mean decomposition: A bridge between the Gaussian and bernoulli ensembles.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
2014
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
CoRR, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Noisy estimation of simultaneously structured models: Limitations of convex relaxation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
On a relation between the minimax risk and the phase transitions of compressed recovery.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
CoRR, 2010