differentially private

Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition ICML 2025 Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret ICML 2025 Distributed Differentially Private Data Analytics via Secure Sketching ICML 2025 Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization ICML 2025 Online Differentially Private Conformal Prediction for Uncertainty Quantification ICML 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting ICML 2025 Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment ICML 2025 Tracking The Best Expert Privately ICML 2025 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024 Differentially Private Bias-Term Fine-tuning of Foundation Models ICML 2024 Differentially Private Representation Learning via Image Captioning ICML 2024 Differentially Private Sum-Product Networks ICML 2024 How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization ICML 2024 Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements ICML 2024 Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions ICLR 2024 Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy ICML 2024 Perturb-and-Project: Differentially Private Similarities and Marginals ICML 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ICML 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation ICML 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022