Maxim Raginsky
Orcid: 0000-0002-5586-9219Affiliations:
- University of Illinois at Urbana-Champaign, Coordinated Science Laboratory, Urbana, IL, USA
- Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- Northwestern University, Department of Electrical and Computer Engineering, Evanston, IL, USA (PhD 202)
According to our database1,
Maxim Raginsky
authored at least 123 papers
between 2003 and 2024.
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Bibliography
2024
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion.
Trans. Mach. Learn. Res., 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
Dyn. Games Appl., September, 2023
IEEE Control. Syst. Lett., 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
A Constructive Approach to Function Realization by Neural Stochastic Differential Equations.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control.
Autom., 2022
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Sampling, variational Bayesian inference, and conditioned stochastic differential equations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Inf. Theory, 2020
Approximate Markov-Nash Equilibria for Discrete-Time Risk-Sensitive Mean-Field Games.
Math. Oper. Res., 2020
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics.
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
SIAM J. Math. Data Sci., 2019
Approximate Nash Equilibria in Partially Observed Stochastic Games with Mean-Field Interactions.
Math. Oper. Res., 2019
Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection.
CoRR, 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions.
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Inf. Theory, 2018
Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives.
IEEE Trans. Control. Netw. Syst., 2018
SIAM J. Control. Optim., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the IEEE International Reliability Physics Symposium, 2018
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability.
Proceedings of the Conference On Learning Theory, 2018
Proceedings of the Algorithmic Learning Theory, 2018
2017
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs.
IEEE Trans. Autom. Control., 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis.
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Strong Data Processing Inequalities and Φ-Sobolev Inequalities for Discrete Channels.
IEEE Trans. Inf. Theory, 2016
IEEE J. Sel. Top. Signal Process., 2016
Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty.
Oper. Res., 2016
Concentration of measure without independence: a unified approach via the martingale method.
CoRR, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Concentration of Measure Inequalities and Their Communication and Information-Theoretic Applications.
CoRR, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Autom. Control., 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
Empirical Processes, Typical Sequences, and Coordinated Actions in Standard Borel Spaces.
IEEE Trans. Inf. Theory, 2013
Concentration of Measure Inequalities in Information Theory, Communications, and Coding.
Found. Trends Commun. Inf. Theory, 2013
Relax but stay in control: from value to algorithms for online Markov decision processes.
CoRR, 2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Refined bounds on the empirical distribution of good channel codes via concentration inequalities.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Logarithmic Sobolev inequalities and strong data processing theorems for discrete channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the American Control Conference, 2013
2012
IEEE Trans. Inf. Theory, 2012
EURASIP J. Adv. Signal Process., 2012
Continuous-time stochastic Mirror Descent on a network: Variance reduction, consensus, convergence.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Inf. Theory, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
IEEE Trans. Signal Process., 2010
CoRR, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Hyperspectral target detection from incoherent projections: Nonequiprobable targets and inhomogeneous SNR.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Divergence-based characterization of fundamental limitations of adaptive dynamical systems.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network.
IEEE Trans. Signal Process., 2009
Joint universal lossy coding and identification of stationary mixing sources with general alphabets.
IEEE Trans. Inf. Theory, 2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
CoRR, 2009
Performance Bounds for Expander-based Compressed Sensing in the presence of Poisson Noise
CoRR, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Sequential probability assignment via online convex programming using exponential families.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Information complexity of black-box convex optimization: A new look via feedback information theory.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Joint Fixed-Rate Universal Lossy Coding and Identification of Continuous-Alphabet Memoryless Sources.
IEEE Trans. Inf. Theory, 2008
Cooperation in self-organizing map networks enhances information transmission in the presence of input background activity.
Biol. Cybern., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Universal Wyner-Ziv coding of discrete memoryless sources with known side information statistics.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
2007
Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
2006
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
A complexity-regularized quantization approach to nonlinear dimensionality reduction.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
2003
Quantum Inf. Process., 2003