2 citations · 3 across the 15 of their papers we have counts for
5 papers · 1 filter
Data Reuse in Non-Stationary Learning
Tomer Gafni, Garud Iyengar, Assaf Zeevi
We consider online learning in non-stationary environments, where the goal is to track an unknown parameter that switches abruptly between a finite set of recurring values. Recurre…
AltGDA Achieves Global Ergodic Convergence in Matrix Games
Tianlong Nan, Garud Iyengar, Christian Kroer +1
Alternating gradient descent-ascent (AltGDA) is a simple and practically effective method for solving finite two-player zero-sum matrix games. However, the theory of AltGDA remains…
Assortment and Procurement Design in Dual-Mode Content Platforms
Garud Iyengar, Yuanzhe Ma, Jay Sethuraman
We study assortment and procurement design for a digital content platform offering both ad-supported and subscription access. Users are heterogeneous in content preferences and ad…
Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation
Wonyoung Kim, Min-Hwan Oh, Garud Iyengar +1
Reinforcement learning with multinomial logistic (MNL) function approximation has become an important framework due to its flexibility and broad applicability. While existing studi…
The Cost of Learning Under Multiple Change Points
Tomer Gafni, Garud Iyengar, Assaf Zeevi
We consider an online learning problem in environments with multiple change points. In contrast to the single change point problem that is widely studied using classical "high conf…