Optimal Adaptive Matrix Completion. - Ilqar Ramazanli; Barnabás Póczos (CoRR, 2020)

Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets. - Ilqar Ramazanli; Han Nguyen; Hai Pham; Sashank J. Reddi; Barnabás Póczos (CoRR, 2020)

Nearest Neighbor outperforms Kernel-Kernel Methods for Distribution Regression. - Ilqar Ramazanli (CACML, 2022)

Learning Algorithm in Two-Stage Selective Prediction. - Weicheng Ye; Dangxing Chen; Ilqar Ramazanli (CACML, 2022)

Performance of Distribution Regression with Doubling Measure under the seek of Closest Point. - Ilqar Ramazanli (CoRR, 2022)

Lifelong Matrix Completion with Sparsity-Number. - Ilqar Ramazanli (CoRR, 2022)

Adaptive Noisy Matrix Completion. - Ilqar Ramazanli (CoRR, 2022)

Matrix Completion with Heterogonous Cost. - Ilqar Ramazanli (CoRR, 2022)

On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization. - Michael Kounavis; Ousmane Dia; Ilqar Ramazanli (CoRR, 2023)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Jiaxiang Fu; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (CoRR, 2025)