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Convex Optimization with Nested Evolving Feasible Sets (CONES) under Time-Varying Loss Functions
Rahul Vaze
Convex Optimization with Nested Evolving Feasible Sets (CONES)} was introduced in \cite{CONESVaze} where the objective function \(f\) remains fixed but the feasible region evolves…
Simultaneous Coverage and Efficiency Guarantee in Online Conformal Prediction
Rahul Vaze
Adaptive conformal inference (ACI) of Gibbs and Cand{è}s and its variants are the standard approach to online conformal prediction under distribution shift, but they suffer from th…
Lower Bound on the Cumulative Constrained Violation for the OGD+Projection algorithm for Constrained Online Convex Optimization (COCO)
Haricharan Balasundaram, Karthick Krishna Mahendran, Rahul Vaze
The problem of constrained online convex optimization is considered, where at each round, once a learner commits to an action , a convex l…
Convex Optimization with Nested Evolving Feasible Sets
Karthick Krishna M., Haricharan Balasundaram, Rahul Vaze
\emph{Convex Optimization with Nested Evolving Feasible Sets (CONES)} is considered where the objective function \(f\) remains fixed but the feasible region evolves over time as a…
Breaking the Cumulative Constraint Violation Barrier while Achieving Static Regret in Constrained Online Convex Optimization
Haricharan Balasundaram, Karthick Krishna Mahendran, Rahul Vaze
The problem of constrained online convex optimization is considered, where at each round, once a learner commits to an action , a convex l…