activity
20182021
most citedGroup-Fair Online Allocation in Continuous Time

11 citations · 19 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation

Semih Cayci, Siddhartha Satpathi, Niao He +1

In this paper, we study the dynamics of temporal difference learning with neural network-based value function approximation over a general state space, namely, \emph{Neural TD lear…

cs.LG202011 cited

Group-Fair Online Allocation in Continuous Time

Semih Cayci, Swati Gupta, Atilla Eryilmaz

The theory of discrete-time online learning has been successfully applied in many problems that involve sequential decision-making under uncertainty. However, in many applications…

cs.LG20203 cited

Continuous-Time Multi-Armed Bandits with Controlled Restarts

Semih Cayci, Atilla Eryilmaz, R. Srikant

Time-constrained decision processes have been ubiquitous in many fundamental applications in physics, biology and computer science. Recently, restart strategies have gained signifi…

cs.LG20205 cited

Budget-Constrained Bandits over General Cost and Reward Distributions

Semih Cayci, Atilla Eryilmaz, R. Srikant

We consider a budget-constrained bandit problem where each arm pull incurs a random cost, and yields a random reward in return. The objective is to maximize the total expected rewa…

cs.NI2018

Optimal Learning for Dynamic Coding in Deadline-Constrained Multi-Channel Networks

Semih Cayci, Atilla Eryilmaz

We study the problem of serving randomly arriving and delay-sensitive traffic over a multi-channel communication system with time-varying channel states and unknown statistics. Thi…