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Ravi Kumar

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

20

papers

410

total citations

papers (20)

Deep Learning with Label Differential Privacy

NEURIPS 2021arXiv

Differentially Private Clustering: Tight Approximation Ratios

NEURIPS 2020arXiv

Fair Hierarchical Clustering

NEURIPS 2020arXiv

How Private are DP-SGD Implementations?

Logarithmic Regret from Sublinear Hints

NEURIPS 2021arXiv

Online Linear Optimization with Many Hints

NEURIPS 2020arXiv

User-Level Differential Privacy With Few Examples Per User

NEURIPS 2023arXiv

Scaling Laws for Differentially Private Language Models

Scaling Embedding Layers in Language Models

NEURIPS 2025arXiv

Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models

On Differentially Private Sampling from Gaussian and Product Distributions

NEURIPS 2023arXiv

Sparsity-Preserving Differentially Private Training of Large Embedding Models

NEURIPS 2023arXiv

Anonymized Histograms in Intermediate Privacy Models

NEURIPS 2022arXiv

On Computing Pairwise Statistics with Local Differential Privacy

NEURIPS 2023arXiv

URANIA: Differentially Private Insights into AI Use

Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization

Private Isotonic Regression

NEURIPS 2022arXiv

User-Level Differentially Private Learning via Correlated Sampling

Online Knapsack with Frequency Predictions

Optimal Unbiased Randomizers for Regression with Label Differential Privacy