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Publications

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Under Preparation/Review

  1. S. Pougkakiotis, H. Hashmi, and D. Kalogerias, “Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles,” October 2024.
  2. B. Saglam and D. Kalogerias, “Compatible Gradient Approximations for Actor-Critic Algorithms,” September 2024.
  3. N. Koumpis and D. Kalogerias, “A Distributionally Robust Estimator that Dominates the Empirical Average,” June 2024.
  4. S. Pougkakiotis, J. Gondzio, and D. Kalogerias, “An Efficient Active-Set Method with Applications to Sparse Approximations and Risk Minimization,” May 2024.
  5. K. Nikolakakis, G. Chantzialexiou, and D. Kalogerias, “FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol,” April 2024.
  6. D. Kalogerias and S. Pougkakiotis, “Strong Duality in Risk-Constrained Nonconvex Functional Programming,” September 2023.
  7. K. E. Nikolakakis, A. Karbasi, and D. Kalogerias, “Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally,” May 2023.
  8. D. Kalogerias, “Risk-Aware Bayesian Hypothesis Testing,” under preparation
  9. D. Kalogerias, “Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions,” under preparation.

Journals

  1. M. P. Chapman and D. Kalogerias, “Risk-Aware Stability of Linear Systems,” IEEE Transactions on Automatic Control, to appear in 2024.
  2. A. Tsiamis, D. Kalogerias, G. J. Pappas, and A. Ribeiro, “Linear Quadratic Control with Risk Constraints,” Automatica, to appear in 2024 (provisionally accepted).
  3. H. Hashmi, S. Pougkakiotis, and D. Kalogerias, “Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design,” IEEE Transactions on Signal Processing, vol. 72, pp. 652 – 669, December 2023.
  4. S. Pougkakiotis, D. Kalogerias, “A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization,” SIAM Journal on Scientific Computing (SISC), vol. 45, no. 5, pp. A2679-A2702, 2023.
  5. A. P. Petropulu, S. Evmorfos, and D. Kalogerias, “Adaptive Discrete Motion Control for Mobile Relay Networks,” Frontiers in Signal Processing, July 2022. 
  6. D. Kalogerias and W. B. Powell, “Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning,” SIAM Journal on Optimization (SIOPT), vol.32, no. 2, pp. 386-416, April 2022.
  7. K. E. Nikolakakis, D. Kalogerias, O. Sheffet, and A. D. Sarwate, “Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme,” IEEE Journal on Selected Areas in Information Theory (JSAIT), Special Issue on Sequential, Active and Reinforcement Learning, vol. 2, no. 2, pp. 534-548, June 2021. 
  8. K. E. Nikolakakis, D. Kalogerias, and A. D. Sarwate, “Predictive Learning on Hidden Tree-Structured Ising Models,” Journal of Machine Learning Research (JMLR), vol. 22, no. 59, pp. 1-82, 2021.
  9. D. Kalogerias, M. Eisen, G. J. Pappas, and A. Ribeiro, “Model-Free Learning of Optimal Ergodic Policies in Wireless Systems,” IEEE Transactions on Signal Processing, vol. 68, pp. 6272-6286, 2020 (most updated version).
  10. A. Dimas, D. Kalogerias, and A. P. Petropulu, “Cooperative Beamforming with Predictive Relay Selection for Urban mmWave Communications,” IEEE Access, vol. 7, pp. 157057-157071, November 2019 (Patent Pending).
  11. D. Kalogerias and A. P. Petropulu, “Spatially Controlled Relay Beamforming,” IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6418 – 6433, December 2018.
  12. D. Kalogerias and A. P. Petropulu, “Uniform ε-Stability of Distributed Nonlinear Filtering over DNAs: Gaussian-Finite HMMs,” IEEE Transactions on Signal & Information Processing over Networks (Special Issue on Inference & Learning over Networks), vol. 2, no. 4, pp. 461 – 476, December 2016.
  13. D. Kalogerias and A. P. Petropulu, “Grid Based Nonlinear Filtering Revisited: Recursive Estimation & Asymptotic Optimality,” IEEE Transactions on Signal Processing, vol. 64, no. 16, pp. 4244 – 4259, July 2016.
  14. D. Kalogerias and A. P. Petropulu, “Asymptotically Optimal Discrete Time Nonlinear Filters From Stochastically Convergent State Process Approximations,” IEEE Transactions on Signal Processing, vol. 63, no. 13, pp. 3522 – 3536, July 2015.
  15. D. Kalogerias and A. P. Petropulu, “Matrix Completion in Colocated MIMO Radar: Recoverability, Bounds & Theoretical Guarantees,” IEEE Transactions on Signal Processing, vol. 62, no. 2, pp. 309 – 321, January 2014.

Conferences (Peer-Reviewed)

  1. P. Promponas, V. Valls, K. Nikolakakis, D. Kalogerias, and L. Tassiulas, “Throughput-Optimal Scheduling via Rate Learning,” 63th IEEE Conference on Decision and Control (CDC 2024), Milan, Italy, December 2024.
  2. G. Yaylali and D. Kalogerias, “Distributionally Robust Power Policies for Wireless Systems under Power Fluctuation Risk,” 57th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2024), Pacific Grove, CA, USA, October 2024.
  3. P. Okanovic, R. Waleffe, V. Mageirakos, K. E. Nikolakakis, A. Karbasi, D. Kalogerias, N. M. Gurel, and T. Rekatsinas, “Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning,” 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 2024.
  4. G. Yaylali and D. Kalogerias, “Stochastic Resource Allocation via Dual Tail Waterfilling,” 58th Conference on Information Sciences and Systems (CISS 2024), Princeton, NJ, USA, March 2024.
  5. D. Kalogerias and S. Pougkakiotis, “Strong Duality Relations in Nonconvex Risk-Constrained Learning,” 58th Conference on Information Sciences and Systems (CISS 2024), Princeton, NJ, USA, March 2024.
  6. P. Theodoropoulos, K. E. Nikolakakis, and D. Kalogerias, “Federated Learning under Restricted User Availability,” 49th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, Korea, April 2024.
  7. G. Yaylali and D. Kalogerias, “Robust and Reliable Resource Allocation via Tail Waterfilling,” 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2023), Shanghai, China, September 2023.
  8. H. Hashmi, S. Pougkakiotis, and D. Kalogerias, “Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization,” 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, June 2023.
  9. K. E. Nikolakakis, F. Haddadpour, A. Karbasi, and D. Kalogerias, “Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD,” 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023.
  10. K. E. Nikolakakis, F. Haddadpour, D. Kalogerias, and A. Karbasi, “Black Box Generalization: Stability of Zeroth-order Learning,” 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, December 2022 (Acceptance Rate: 25.6%).
  11. N. Koumpis, A. Tsiamis, and D. Kalogerias, “State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems,” 61st IEEE Conference on Decision and Control (CDC 2022), Cancun, Mexico, December 2022.
  12. D. Kalogerias, “Fast and Stable Convergence of Online SGD for CV@R-Based Risk-Aware Learning,” 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, May 2022.
  13. H. Hashmi and D. Kalogerias, “Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration,” 31st IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2021), Gold Coast, Queensland, Australia, November 2021. Code
  14. N. Koumpis and D. Kalogerias, “Uncertainty Principles in Risk-Aware Statistical Estimation,” 60th IEEE Conference on Decision and Control (CDC 2021), Austin, TX, USA, December 2021.
  15. H. Kumar, D. Kalogerias, G. J. Pappas, and A. Ribeiro, “Actor-Only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space,” IEEE International Symposium on Information Theory (ISIT 2021), Melbourne, Victoria, Australia, July 2021.
  16. A. Tsiamis, D. Kalogerias, L. F. O. Chamon, A. Ribeiro, and G. J. Pappas, “Risk-Constrained Linear-Quadratic Regulators,” 59th IEEE Conference on Decision and Control (CDC 2020), Jeju Island, Republic of Korea, December 2020.
  17. D. Kalogerias, M. Eisen, G. J. Pappas, and A. Ribeiro, “Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems,” 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, Netherlands, January 2021.
  18. D. Kalogerias, L. F. O. Chamon, G. J. Pappas, and A. Ribeiro, “Better Safe than Sorry: Risk-Aware Nonlinear Bayesian Estimation,” 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, May 2020 (Best Paper Award). Click here to watch video lecture.
  19. D. Kalogerias, M. Eisen, G. J. Pappas, and A. Ribeiro, “A Zeroth-order Learning Algorithm for Ergodic Optimization of Wireless Systems with No Models and No Gradients,” 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, May 2020.
  20. K. E. Nikolakakis, D. Kalogerias, and A. D. Sarwate, “Learning Tree Structures from Noisy Data,” 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Naha, Okinawa, Japan, April 2019.
  21. A. Dimas, D. Kalogerias, C. Koumpouzi and A. P. Petropulu, “Parameter Estimation for Hierarchical Channel Profiling,” 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017), Montreal, Canada, November 2017.
  22. D. Kalogerias and A. P. Petropulu, “Enhancing QoS in Spatially Controlled Beamforming Networks via Distributed Stochastic Programming,” 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, LA, USA, March 2017.
  23. D. Kalogerias and A. P. Petropulu, “Mobile Beamforming & Spatially Controlled Relay Communications,” 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016 (invited, Best Paper of the Special Sessions).
  24. D. Kalogerias and A. P. Petropulu, “Distributed Nonlinear Filtering of Partially Observed Markov Chains over WSNs: Truncating the ADMM,” 49th Asilomar Conference on Signals, Systems and Computers (Asilomar 2015), Asilomar Hotel & Conference Grounds, Pacific Grove, CA, USA, November 2015.
  25. D. Kalogerias and A. P. Petropulu, “On Pathwise Convergence of Particle & Grid Based Nonlinear Filters: Feller vs Conditional Regularity,” 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton 2015), Monticello, Illinois, September 29 – October 2, 2015.
  26. D. Kalogerias and A. P. Petropulu, “Nonlinear SpatioTemporal Channel Gain Map Tracking in Mobile Cooperative Networks,” 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2015), Stockholm, Sweden, June/July 2015.
  27. D. Kalogerias and A. P. Petropulu, “RIP Bounds for Naively Subsampled Scrambled Fourier Sensing Matrices,” 48th Annual Conference on Information Sciences & Systems (CISS 2014), Princeton, NJ, USA, March 2014.
  28. D. Kalogerias and A. P. Petropulu, “Mobi-Cliques for Improving Ergodic Secrecy in Fading Wiretap Channels under Power Constraints,” 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, May 2014 (Special Session Invited Paper).
  29. D. Kalogerias and A. P. Petropulu, “MC-MIMO Radar: Recoverability and Performance Bounds,” 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013), Austin, TX, USA, December 2013.
  30. D. Kalogerias, S. Sun and A. P. Petropulu, “Sparse Sensing in Colocated MIMO Radar: A Matrix Completion Approach,” 13th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2013), Athens, Greece, December 2013 (Invited Paper).
  31. D. Kalogerias and A. P. Petropulu, “On the Coherence Properties of Random Euclidean Distance Matrices,” 14th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013), Darmstadt, Germany, June 2013.
  32. D. Kalogerias, N. Chatzipanagiotis, M. M. Zavlanos and A. P. Petropulu, “Mobile Jammers for Secrecy Rate Maximization in Cooperative Networks,” 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Vancouver, Canada, May 2013.

Technical Reports and Others

  1. S. Pougkakiotis, J. Gondzio and D. Kalogerias, “An Active-Set Method for Sparse Approximations, Part II: General Piecewise-Linear Terms,” technical report, February 2023.
  2. S. Pougkakiotis, J. Gondzio and D. Kalogerias, “An Active-Set Method for Sparse Approximations, Part I: Separable ℓ1 Terms,”, technical report, February 2023.
  3. H. Kumar, D. Kalogerias, G. J. Pappas, and A. Ribeiro, “Zeroth-order Deterministic Policy Gradient,” extended preprint, 2020.
  4. K. E. Nikolakakis, D. Kalogerias, and A. D. Sarwate, “Optimal Rates for Learning Hidden Tree Structures,” technical report, 2019.
  5. D. Kalogerias and A. P. Petropulu, “Spatially Controlled Relay Beamforming: 2-Stage Optimal Policies,” extended preprint, 2017.
  6. D. Kalogerias and A. P. Petropulu, “Sequential Channel State Tracking & SpatioTemporal Channel Prediction in Mobile Wireless Sensor Networks,” technical report (arXiv), 2015.