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Found 13 papers, 0 papers with code
Distribution-Free Guarantees for Systems with Decision-Dependent Noise
Our approach finds the open-loop control law that minimizes the worst-case loss, given that the noise induced by this control lies in its $(1 - p)$-confidence set for a predetermined $p$.
Incentive Design for Eco-driving in Urban Transportation Networks
Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks.
Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic
Through examining the influence of the lane-switch frequency on the system's stability, the analysis offers a principled explanation to the traffic break phenomena, and further discovers opportunities for less-intrusive traffic smoothing by employing less frequent lane-switching.
Identifying Single-Input Linear System Dynamics from Reachable Sets
This paper is concerned with identifying linear system dynamics without the knowledge of individual system trajectories, but from the knowledge of the system's reachable sets observed at different times.
Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability
While previous theoretical studies consider stability analysis for continuous AV control, this article presents the first integrated theoretical analysis that directly relates the guidance provided to the human drivers to the traffic flow stability outcome.
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
As data-driven methods are deployed in real-world settings, the processes that generate the observed data will often react to the decisions of the learner.
Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics
We then reformulate the constraints of the optimization to mitigate the computational limitations associated with an increase in state dimensionality.
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
Causal discovery methods seek to identify causal relations between random variables from purely observational data, as opposed to actively collected experimental data where an experimenter intervenes on a subset of correlates.
Private DNA Sequencing: Hiding Information in Discrete Noise
When an individual's DNA is sequenced, sensitive medical information becomes available to the sequencing laboratory.
Information Theory Cryptography and Security Information Theory
Expert Selection in High-Dimensional Markov Decision Processes
In this work we present a multi-armed bandit framework for online expert selection in Markov decision processes and demonstrate its use in high-dimensional settings.
Competitive Statistical Estimation with Strategic Data Sources
Recent work has explored mechanisms to ensure that the data sources share high quality data with a single data aggregator, addressing the issue of moral hazard.
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
We formulate a multi-armed bandit (MAB) approach to choosing expert policies online in Markov decision processes (MDPs).
Systems and Control
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem
This paper presents a novel extension of CS to the phase retrieval problem, where intensity measurements of a linear system are used to recover a complex sparse signal.
