{"total":26,"rows":[{"id":"2103.14222","title":"Adversarial Attacks are Reversible with Natural Supervision","created":"2021-03-26","cited_by_count":47,"area":null},{"id":"2202.11632","title":"Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance","created":"2022-02-23","cited_by_count":24,"area":null},{"id":"2304.03646","title":"Fairness through Aleatoric Uncertainty","created":"2023-04-07","cited_by_count":16,"area":null},{"id":"2106.15358","title":"Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors","created":"2021-06-29","cited_by_count":14,"area":null},{"id":"2402.19200","title":"PRSA: Prompt Stealing Attacks against Real-World Prompt Services","created":"2024-02-29","cited_by_count":10,"area":null},{"id":"2205.15749","title":"Non-Iterative Recovery from Nonlinear Observations using Generative Models","created":"2022-05-31","cited_by_count":9,"area":null},{"id":"2106.06308","title":"The Complexity of Sparse Tensor PCA","created":"2021-06-11","cited_by_count":7,"area":null},{"id":"2108.03570","title":"Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors","created":"2021-08-08","cited_by_count":7,"area":null},{"id":"2210.02215","title":"On the Statistical Complexity of Estimation and Testing under Privacy Constraints","created":"2022-10-05","cited_by_count":6,"area":null},{"id":"2405.16696","title":"How many samples are needed to train a deep neural network?","created":"2024-05-26","cited_by_count":5,"area":null},{"id":"2406.11206","title":"Retraining with Predicted Hard Labels Provably Increases Model Accuracy","created":"2024-06-17","cited_by_count":5,"area":null},{"id":"2206.08092","title":"On the well-spread property and its relation to linear regression","created":"2022-06-16","cited_by_count":4,"area":null},{"id":"2202.10615","title":"On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature","created":"2022-02-22","cited_by_count":3,"area":null},{"id":"2405.16581","title":"On Bits and Bandits: Quantifying the Regret-Information Trade-off","created":"2024-05-26","cited_by_count":3,"area":null},{"id":"2409.03335","title":"Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data","created":"2024-09-05","cited_by_count":3,"area":null},{"id":"2311.03376","title":"Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2602.16568","title":"Separating Oblivious and Adaptive Models of Variable Selection","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2603.02200","title":"Adaptive Confidence Regularization for Multimodal Failure Detection","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2209.15404","title":"Entropy-driven Unsupervised Keypoint Representation Learning in Videos","created":"2022-09-30","cited_by_count":0,"area":null},{"id":"2410.06067","title":"Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2512.00517","title":"No-Regret Gaussian Process Optimization of Time-Varying Functions","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2603.15842","title":"Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2603.18514","title":"On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2605.07546","title":"On the Invariance and Generality of Neural Scaling Laws","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2608.13510","title":"On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2610.03321","title":"Information Limits of Low-Rank Approximation Certification","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}