default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMikael Skoglund
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j199]Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity. J. Mach. Learn. Res. 25: 110:1-110:43 (2024)- [j198]Photios A. Stavrou
, Mikael Skoglund:
Indirect NRDF for Partially Observable Gauss-Markov Processes With MSE Distortion: Characterizations and Optimal Solutions. IEEE Trans. Autom. Control. 69(9): 5867-5882 (2024) - [j197]Takashi Tanaka, Vrushabh Zinage, Valery A. Ugrinovskii, Mikael Skoglund:
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering. IEEE Trans. Autom. Control. 69(10): 7255-7262 (2024) - [j196]Chengxi Li, Mikael Skoglund:
Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers. IEEE Trans. Commun. 72(8): 4903-4916 (2024) - [j195]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data. IEEE Trans. Inf. Theory 70(3): 2177-2200 (2024) - [j194]Chengxi Li, Mikael Skoglund:
Decentralized Learning Based on Gradient Coding With Compressed Communication. IEEE Trans. Signal Process. 72: 4713-4729 (2024) - [j193]Deyou Zhang, Sicong Ye, Ming Xiao, Kezhi Wang, Marco Di Renzo, Mikael Skoglund:
Fluid Antenna Array Enhanced Over-the-Air Computation. IEEE Wirel. Commun. Lett. 13(6): 1541-1545 (2024) - [j192]Steven Rivetti, Özlem Tugfe Demir, Emil Björnson, Mikael Skoglund:
Malicious Reconfigurable Intelligent Surfaces: How Impactful Can Destructive Beamforming be? IEEE Wirel. Commun. Lett. 13(7): 1918-1922 (2024) - [c340]Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund:
Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage. APF 2024: 73-86 - [c339]Jeannie He, Ming Xiao, Mikael Skoglund:
Straggler-Resilient Asynchronous Decentralized ADMM for Consensus Optimization. CISS 2024: 1-6 - [c338]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Statistical Privacy Mechanism Design Using Separation Technique. EUSIPCO 2024: 735-739 - [c337]Chengxi Li, Mikael Skoglund:
Gradient Coding in Decentralized Learning for Evading Stragglers. EUSIPCO 2024: 1821-1825 - [c336]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. EUSIPCO 2024: 2127-2131 - [c335]Viswanathan Ramachandran, Tobias J. Oechtering, Mikael Skoglund:
Multi-terminal Strong Coordination Over Noisy Channels with Secrecy Constraints. ISIT 2024: 1925-1930 - [c334]Yiqi Chen, Tobias J. Oechtering, Holger Boche, Mikael Skoglund, Yuan Luo:
Distribution-Preserving Integrated Sensing and Communication with Secure Reconstruction. ISIT 2024: 2574-2579 - [c333]Borja Rodríguez Gálvez, Omar Rivasplata, Ragnar Thobaben, Mikael Skoglund:
A Note on Generalization Bounds for Losses with Finite Moments. ISIT 2024: 2676-2681 - [c332]Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund:
Quantifying Privacy via Information Density. ISIT 2024: 3071-3076 - [c331]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. ISIT 2024: 3480-3485 - [c330]Sicong Ye, Deyou Zhang, Ming Xiao, Mikael Skoglund:
Integrated Communication and Computation Empowered by Fluid Antenna Array. SPAWC 2024: 276-280 - [c329]Sajad Daei, Mikael Skoglund, Gábor Fodor:
Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems. SPAWC 2024: 571-575 - [c328]Steven Rivetti, Emil Björnson, Mikael Skoglund:
Secure Spatial Signal Design for ISAC in a Cell-Free MIMO Network. WCNC 2024: 1-6 - [c327]Amirreza Zamani, Mikael Skoglund:
Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage. WiOpt 2024: 218-224 - [i183]Steven Rivetti, Emil Björnson, Mikael Skoglund:
Secure Spatial Signal Design for ISAC in a Cell-Free MIMO Network. CoRR abs/2401.12901 (2024) - [i182]Chengxi Li, Mikael Skoglund:
Gradient Coding in Decentralized Learning for Evading Stragglers. CoRR abs/2402.04193 (2024) - [i181]Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund:
Quantifying Privacy via Information Density. CoRR abs/2402.12967 (2024) - [i180]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems. CoRR abs/2403.03361 (2024) - [i179]Chengxi Li, Mikael Skoglund:
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers. CoRR abs/2403.14716 (2024) - [i178]Chengxi Li, Ming Xiao, Mikael Skoglund:
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation. CoRR abs/2403.14905 (2024) - [i177]Borja Rodríguez Gálvez, Omar Rivasplata, Ragnar Thobaben, Mikael Skoglund:
A note on generalization bounds for losses with finite moments. CoRR abs/2403.16681 (2024) - [i176]Steven Rivetti, Ozlem Tugfe Demir, Emil Björnson, Mikael Skoglund:
Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network. CoRR abs/2404.11314 (2024) - [i175]Yiqi Chen, Tobias J. Oechtering, Holger Boche, Mikael Skoglund, Yuan Luo:
Distribution-Preserving Integrated Sensing and Communication with Secure Reconstruction. CoRR abs/2405.07275 (2024) - [i174]Hamideh Sadat Fazael Ardakani, Sajad Daei, Arash Amini, Mikael Skoglund, Gábor Fodor:
Subspace-Informed Matrix Completion. CoRR abs/2405.07890 (2024) - [i173]Sajad Daei, Gábor Fodor, Mikael Skoglund:
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. CoRR abs/2405.07895 (2024) - [i172]Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund:
Multi-Task Private Semantic Communication. CoRR abs/2405.08709 (2024) - [i171]Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing. CoRR abs/2406.17393 (2024) - [i170]Shudi Weng, Ming Xiao, Mikael Skoglund:
Coded Cooperative Networks for Semi-Decentralized Federated Learning. CoRR abs/2406.19002 (2024) - [i169]Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering:
Information Density Bounds for Privacy. CoRR abs/2407.01167 (2024) - [i168]Martin Lindström, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry. CoRR abs/2407.07664 (2024) - [i167]Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Mikael Skoglund:
Simultaneous Information and Energy Transmission with Short Packets and Finite Constellations. CoRR abs/2408.07807 (2024) - [i166]Amirreza Zamani, Borja Rodríguez Gálvez, Mikael Skoglund:
On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity. CoRR abs/2408.13168 (2024) - [i165]Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
An Information-Theoretic Approach to Generalization Theory. CoRR abs/2408.13275 (2024) - [i164]Amirreza Zamani, Mikael Skoglund:
Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage. CoRR abs/2409.20133 (2024) - [i163]Amirreza Zamani, Mikael Skoglund:
Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design. CoRR abs/2410.05033 (2024) - [i162]Raghav Bongole, Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality. CoRR abs/2410.16013 (2024) - [i161]Steven Rivetti, Ozlem Tugfe Demir, Emil Björnson, Mikael Skoglund:
Clutter-Aware Target Detection for ISAC in a Millimeter-Wave Cell-Free Massive MIMO System. CoRR abs/2411.08759 (2024) - [i160]Viswanathan Ramachandran, Tobias J. Oechtering, Mikael Skoglund:
Multi-terminal Strong Coordination subject to Secrecy Constraints. CoRR abs/2411.14123 (2024) - 2023
- [j191]Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson:
A Model Randomization Approach to Statistical Parameter Privacy. IEEE Trans. Autom. Control. 68(2): 839-850 (2023) - [j190]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. IEEE Trans. Big Data 9(4): 1252-1259 (2023) - [j189]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage. IEEE Trans. Inf. Theory 69(12): 8054-8080 (2023) - [c326]Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite:
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. ALT 2023: 663-706 - [c325]Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Off-the-grid Blind Deconvolution and Demixing. GLOBECOM 2023: 7604-7610 - [c324]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage on General Alphabets. ISIT 2023: 388-393 - [c323]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. ISIT 2023: 1306-1311 - [c322]Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund:
Secure Block Joint Source-Channel Coding with Sequential Encoding. ISIT 2023: 2732-2737 - [c321]Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo:
On Strong Secrecy for Multiple Access Channel with States and causal CSI. ISIT 2023: 2744-2749 - [c320]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Multi-User Privacy Mechanism Design with Non-zero Leakage. ITW 2023: 401-405 - [c319]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design. VTC Fall 2023: 1-7 - [c318]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Zero Leakage. WIFS 2023: 1-6 - [c317]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Private Variable-Length Coding with Non-Zero Leakage. WIFS 2023: 1-6 - [c316]Sajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Blind Asynchronous Goal-Oriented Detection for Massive Connectivity. WiOpt 2023: 167-174 - [c315]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. WiOpt 2023: 247-254 - [i159]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Inferential Privacy: From Impossibility to Database Privacy. CoRR abs/2303.07782 (2023) - [i158]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage on General Alphabets. CoRR abs/2304.07722 (2023) - [i157]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. CoRR abs/2304.13593 (2023) - [i156]Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo:
On Strong Secrecy for Multiple Access Channel with States and Causal CSI. CoRR abs/2305.01393 (2023) - [i155]Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund:
Secure Block Joint Source-Channel Coding with Sequential Encoding. CoRR abs/2305.06038 (2023) - [i154]Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity. CoRR abs/2306.12214 (2023) - [i153]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. CoRR abs/2306.13184 (2023) - [i152]Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo:
On Strong Secrecy for Multiple Access Channels with States and Causal CSI. CoRR abs/2306.14323 (2023) - [i151]Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione:
Off-the-grid Blind Deconvolution and Demixing. CoRR abs/2308.03518 (2023) - [i150]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
New Privacy Mechanism Design With Direct Access to the Private Data. CoRR abs/2309.09033 (2023) - [i149]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Sequential Encoder. CoRR abs/2309.09034 (2023) - [i148]Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo:
On General Capacity-Distortion Formulas of Integrated Sensing and Communication. CoRR abs/2310.11080 (2023) - [i147]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Private Variable-Length Coding with Non-zero Leakage. CoRR abs/2310.19122 (2023) - [i146]Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund:
Private Variable-Length Coding with Zero Leakage. CoRR abs/2310.19837 (2023) - [i145]Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Federated Learning via Active RIS Assisted Over-the-Air Computation. CoRR abs/2311.03982 (2023) - [i144]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design. CoRR abs/2311.04059 (2023) - [i143]Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Beamforming Design for Active RIS-Aided Over-the-Air Computation. CoRR abs/2311.18418 (2023) - [i142]Deyou Zhang, Sicong Ye, Ming Xiao, Kezhi Wang, Marco Di Renzo, Mikael Skoglund:
Fluid Antenna Array Enhanced Over-the-Air Computation. CoRR abs/2312.15244 (2023) - 2022
- [j188]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. 115: 108030 (2022) - [j187]Photios A. Stavrou, Mikael Skoglund:
New Formulation and Computation of NRDF for Time-Varying Multivariate Gaussian Processes With Correlated Noise. IEEE Control. Syst. Lett. 6: 331-336 (2022) - [j186]Shuchan Wang, Photios A. Stavrou, Mikael Skoglund:
Generalizations of Talagrand Inequality for Sinkhorn Distance Using Entropy Power Inequality. Entropy 24(2): 306 (2022) - [j185]Ming Xiao, Mikael Skoglund:
Coding for Large-Scale Distributed Machine Learning. Entropy 24(9): 1284 (2022) - [j184]Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources. IEEE Internet Things J. 9(17): 16592-16605 (2022) - [j183]Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT. IEEE Internet Things J. 9(22): 22958-22971 (2022) - [j182]Takashi Tanaka, Henrik Sandberg, Mikael Skoglund:
Transfer-Entropy-Regularized Markov Decision Processes. IEEE Trans. Autom. Control. 67(4): 1944-1951 (2022) - [j181]Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson:
Optimal Privacy-Aware Estimation. IEEE Trans. Autom. Control. 67(5): 2253-2266 (2022) - [j180]Photios A. Stavrou, Mikael Skoglund:
Asymptotic Reverse Waterfilling Algorithm of NRDF for Certain Classes of Vector Gauss-Markov Processes. IEEE Trans. Autom. Control. 67(6): 3196-3203 (2022) - [j179]Photios A. Stavrou, Mikael Skoglund, Takashi Tanaka:
Sequential Source Coding for Stochastic Systems Subject to Finite Rate Constraints. IEEE Trans. Autom. Control. 67(8): 3822-3835 (2022) - [j178]Jaya Prakash Champati, Mikael Skoglund, Magnus Jansson, James Gross:
Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off. IEEE Trans. Commun. 70(5): 3081-3095 (2022) - [j177]Hasan Basri Çelebi, Mikael Skoglund:
Goodput Maximization With Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. IEEE Trans. Commun. 70(8): 5071-5084 (2022) - [j176]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. IEEE Trans. Inf. Forensics Secur. 17: 165-179 (2022) - [j175]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Fundamental Limits-Achieving Polar Code Designs for Biometric Identification and Authentication. IEEE Trans. Inf. Forensics Secur. 17: 180-195 (2022) - [j174]Fatemeh Rezaei, Babak Hossein Khalaj, Ming Xiao, Mikael Skoglund:
Performance Analysis of Heterogeneous Cellular Caching Networks With Overlapping Small Cells. IEEE Trans. Veh. Technol. 71(2): 1941-1951 (2022) - [j173]Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
A Multi-Objective Optimization Framework for URLLC With Decoding Complexity Constraints. IEEE Trans. Wirel. Commun. 21(4): 2786-2798 (2022) - [j172]Wanlu Lei, Chenguang Lu, Yezi Huang, Jing Rao, Ming Xiao, Mikael Skoglund:
Adaptive Beam Sweeping With Supervised Learning. IEEE Wirel. Commun. Lett. 11(12): 2650-2654 (2022) - [c314]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. Allerton 2022: 1-7 - [c313]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy. Allerton 2022: 1-6 - [c312]Photios A. Stavrou, Serkan Santas, Mikael Skoglund:
Privacy Signaling Games with Binary Alphabets. ECC 2022: 1268-1273 - [c311]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. ISIT 2022: 620-625 - [c310]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage. ISIT 2022: 626-631 - [c309]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. ITW 2022: 13-18 - [c308]Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Mikael Skoglund:
Information-Energy Trade-offs with EH Non-linearities in the Finite Block-Length Regime with Finite Constellations. ITW 2022: 55-60 - [c307]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. WiOpt 2022: 276-282 - [i141]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. CoRR abs/2201.08738 (2022) - [i140]Takashi Tanaka, Vrushabh Zinage, Valery A. Ugrinovskii, Mikael Skoglund:
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering. CoRR abs/2202.02880 (2022) - [i139]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. CoRR abs/2202.03263 (2022) - [i138]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. CoRR abs/2205.04881 (2022) - [i137]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage. CoRR abs/2205.04935 (2022) - [i136]Hasan Basri Çelebi, Mikael Skoglund:
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. CoRR abs/2206.15203 (2022) - [i135]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. CoRR abs/2207.08735 (2022) - [i134]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. CoRR abs/2209.07886 (2022) - [i133]Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Eitan Altman, Mikael Skoglund:
Information-Energy Regions in the Finite Block-Length Regime with Finite Channel Inputs. CoRR abs/2211.05873 (2022) - [i132]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Multi-User Privacy Mechanism Design with Non-zero Leakage. CoRR abs/2211.15525 (2022) - [i131]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. CoRR abs/2212.12475 (2022) - [i130]Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite:
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. CoRR abs/2212.13556 (2022) - 2021
- [j171]