1 citations · 1 across the 11 of their papers we have counts for
14 papers
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…
Multi-Objective Online Convex Optimization
Rahul Vaze, Sumiran Mishra
In this paper, we broaden the horizon of online convex optimization (OCO), and consider multi-objective OCO, where there are distinct loss function sequences, and an algorithm…
Online Convex Optimization with Switching Cost with Only One Single Gradient Evaluation
Harsh Shah, Purna Chandrasekhar, Rahul Vaze
Online convex optimization with switching cost is considered under the frugal information setting where at time , before action is taken, only a single function evaluation…
Beyond Constraint Violation for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
We study Online Convex Optimization with adversarial constraints (COCO). At each round a learner selects an action from a convex decision set and then an adversary reveals a convex…
Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
Rahul Vaze, Abhishek Sinha
The constrained version of the standard online convex optimization (OCO) framework, called COCO is considered, where on every round, a convex cost function and a convex constraint…
Online Bidding Algorithms with Strict Return on Spend (ROS) Constraint
Rahul Vaze, Abhishek Sinha
Auto-bidding problem under a strict return-on-spend constraint (ROSC) is considered, where an algorithm has to make decisions about how much to bid for an ad slot depending on the…
Tight Bounds for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
A well-studied generalization of the standard online convex optimization (OCO) is constrained online convex optimization (COCO). In COCO, on every round, a convex cost function and…
Online Convex Optimization with Switching Cost and Delayed Gradients
Spandan Senapati, Rahul Vaze
We consider the online convex optimization (OCO) problem with quadratic and linear switching cost in the limited information setting, where an online algorithm can choose its actio…
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
A well-studied generalization of the standard online convex optimization (OCO) framework is constrained online convex optimization (COCO). In COCO, on every round, a convex cost fu…
Scheduling to Learn In An Unsupervised Online Streaming Model
R. Vaze, Santanu Rathod
An unsupervised online streaming model is considered where samples arrive in an online fashion over slots. There are classifiers, whose confusion matrices are unknown a pri…