181 citations · 1.2k across the 132 of their papers we have counts for
10 papers · 1 filter
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
We study an information theoretic privacy mechanism design problem for two scenarios where the private data is either observable or hidden. In each scenario, we first consider boun…
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
Mahdi Haghifam, Borja Rodríguez-Gálvez, Ragnar Thobaben +3
To date, no "information-theoretic" frameworks for reasoning about generalization error have been shown to establish minimax rates for gradient descent in the setting of stochastic…
Multi-User Privacy Mechanism Design with Non-zero Leakage
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
A privacy mechanism design problem is studied through the lens of information theory. In this work, an agent observes useful data that is correlated with private…
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach
Deyou Zhang, Ming Xiao, Mikael Skoglund
In this paper, we develop an efficient training beam sequence design approach for millimeter wave MISO tracking systems. We impose a discrete state Markov process assumption on the…
An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering +1
Building on the framework introduced by Xu and Raginksy [1] for supervised learning problems, we study the best achievable performance for model-based Bayesian reinforcement learni…
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels
Hasan Basri Celebi, Mikael Skoglund
In this paper, we study a quantized feedback scheme to maximize the goodput of a finite blocklength communication scenario over a quasi-static fading channel. It is assumed that th…