2 citations · 2 across the 5 of their papers we have counts for
7 papers
Optimal Sequential Recommendations: Exploiting User and Item Structure
Mina Karzand, Guy Bresler
We consider an online model for recommendation systems, with each user being recommended an item at each time-step and providing 'like' or 'dislike' feedback. A latent variable mod…
MaxiMin Active Learning in Overparameterized Model Classes}
Mina Karzand, Robert D. Nowak
Generating labeled training datasets has become a major bottleneck in Machine Learning (ML) pipelines. Active ML aims to address this issue by designing learning algorithms that au…
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering
Guy Bresler, Mina Karzand
We consider an online model for recommendation systems, with each user being recommended an item at each time-step and providing 'like' or 'dislike' feedback. Each user may be reco…
Learning a Tree-Structured Ising Model in Order to Make Predictions
Guy Bresler, Mina Karzand
We study the problem of learning a tree Ising model from samples such that subsequent predictions made using the model are accurate. The prediction task considered in this paper is…
Communication Strategies for Low-Latency Trading
Mina Karzand, Lav R. Varshney
The possibility of latency arbitrage in financial markets has led to the deployment of high-speed communication links between distant financial centers. These links are noisy and s…
Achievable Degrees of Freedom in MIMO Correlatively Changing Fading Channels
Mina Karzand, Lizhong Zheng
The relationship between the transmitted signal and the noiseless received signals in correlatively changing fading channels is modeled as a nonlinear mapping over manifolds of dif…
Achievability of Nonlinear Degrees of Freedom in Correlatively Changing Fading Channels
Mina Karzand, Lizhong Zheng
A new approach toward the noncoherent communications over the time varying fading channels is presented. In this approach, the relationship between the input signal space and the o…