4 citations · 6 across the 8 of their papers we have counts for
8 papers
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
Ilqar Ramazanli, Hamid Eghbalzadeh, Xiaoyi Liu +6
Perturbation-based regularization techniques address many challenges in industrial-scale large models, particularly with sparse labels, and emphasize consistency and invariance for…
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
Michael Kounavis, Ousmane Dia, Ilqar Ramazanli
Machine learning systems such as large scale recommendation systems or natural language processing systems are usually trained on billions of training points and are associated wit…
Adaptive Noisy Matrix Completion
Ilqar Ramazanli
Low-rank matrix completion has been studied extensively under various type of categories. The problem could be categorized as noisy completion or exact completion, also active or p…
Lifelong Matrix Completion with Sparsity-Number
Ilqar Ramazanli
Matrix completion problem has been previously studied under various adaptive and passive settings. Previously, researchers have proposed passive, two-phase and single-phase algorit…
Matrix Completion with Heterogonous Cost
Ilqar Ramazanli
The matrix completion problem has been studied broadly under many underlying conditions. The problem has been explored under adaptive or non-adaptive, exact or estimation, single-p…
Performance of Distribution Regression with Doubling Measure under the seek of Closest Point
Ilqar Ramazanli
We study the distribution regression problem assuming the distribution of distributions has a doubling measure larger than one. First, we explore the geometry of any distributions…
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
Ilqar Ramazanli, Han Nguyen, Hai Pham +2
We study distributed optimization algorithms for minimizing the average of \emph{heterogeneous} functions distributed across several machines with a focus on communication efficien…
Optimal Exact Matrix Completion Under new Parametrization
Ilqar Ramazanli, Barnabas Poczos
We study the problem of exact completion for sized matrix of rank with the adaptive sampling method. We introduce a relation of the exact completion problem with t…