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Found 12 papers, 0 papers with code
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test
Causal phenomena associated with rare events occur across a wide range of engineering problems, such as risk-sensitive safety analysis, accident analysis and prevention, and extreme value theory.
Competing Bandits in Time Varying Matching Markets
We study the problem of online learning in two-sided non-stationary matching markets, where the objective is to converge to a stable match.
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
We study the problem of online learning in competitive settings in the context of two-sided matching markets.
Independent and Decentralized Learning in Markov Potential Games
In each stage of our learning dynamics, players update their estimate of a perturbed Q-function that evaluates their total contingent payoff based on the realized one-stage reward in an asynchronous manner.
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
This work presents an optimization-based framework that unifies these approaches, and allows users to flexibly implement different design choices, e. g., the number and types of variables maintained in the algorithm at each time.
Dynamic Tolling for Inducing Socially Optimal Traffic Loads
How to design tolls that induce socially optimal traffic loads with dynamically arriving travelers who make selfish routing decisions?
Residual Networks: Lyapunov Stability and Convex Decomposition
While training error of most deep neural networks degrades as the depth of the network increases, residual networks appear to be an exception.
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Exploration in complex domains is a key challenge in reinforcement learning, especially for tasks with very sparse rewards.
Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained $\ell_1$-Minimization
High-dimensional data often lie in low-dimensional subspaces corresponding to different classes they belong to.
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.
Markov Chain Monte Carlo Data Association for Multiple-Target Tracking
This paper presents Markov chain Monte Carlo data association (MCMCDA) for solving data association problems arising in multiple-target tracking in a cluttered environment.
Geometric Models of Rolling-Shutter Cameras
We develop a general projection equation for a rolling shutter camera and show how it is affected by different types of camera motion.
