8 papers
Communication-Constrained Energy-Optimal Trajectory Generation for Quadrotor UAVs in Urban Environments
Prateek Priyaranjan Pradhan, Ketan Rajawat, Mangal Kothari
Communication-aware trajectory generation for unmanned aerial vehicles (UAVs) operating in urban environments requires simultaneous consideration of vehicle dynamics, wireless comm…
Decentralized Stochastic Constrained Optimization via Prox-Linearization
Shivangi Dubey Sharma, Basil M. Idrees, Lavish Arora +1
This paper studies consensus-based decentralized stochastic optimization for minimizing possibly non-convex expected objectives with convex non-smooth regularizers and nonlinear fu…
Rank-one Riemannian Subspace Descent for Nonlinear Matrix Equations
Yogesh Darmwal, Ketan Rajawat
We propose a rank-one Riemannian subspace descent algorithm for computing symmetric positive definite (SPD) solutions to nonlinear matrix equations arising in control theory, dynam…
Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
Vaibhav Rajoriya, Prateek Priyaranjan Pradhan, Ketan Rajawat
This paper considers stochastic convex optimization problems with smooth functional constraints arising in constrained estimation and robust signal recovery. We operate in the high…
Stochastic Sequential Quadratic Programming for Optimization with Functional Constraints
Panchajanya Sanyal, Srujan Teja Thomdapu, Ketan Rajawat
Stochastic convex optimization problems with nonlinear functional constraints are ubiquitous in signal processing applications including constrained least-squares, set-membership a…
Constrained Stochastic Recursive Momentum Successive Convex Approximation
Basil M. Idrees, Lavish Arora, Ketan Rajawat
We consider stochastic optimization problems with non-convex functional constraints, such as those arising in trajectory generation, sparse approximation, and robust classification…