{"total":94,"rows":[{"id":"2305.08846","title":"Privacy Auditing with One (1) Training Run","created":"2023-05-15","cited_by_count":123,"area":null},{"id":"2102.00931","title":"Information-Theoretic Generalization Bounds for Stochastic Gradient Descent","created":"2021-02-01","cited_by_count":84,"area":null},{"id":"2102.11845","title":"Learning with User-Level Privacy","created":"2021-02-23","cited_by_count":72,"area":null},{"id":"2209.15145","title":"Batch Multivalid Conformal Prediction","created":"2022-09-30","cited_by_count":67,"area":null},{"id":"2106.03408","title":"Antipodes of Label Differential Privacy: PATE and ALIBI","created":"2021-06-07","cited_by_count":52,"area":null},{"id":"2203.01255","title":"Low-Degree Multicalibration","created":"2022-03-02","cited_by_count":45,"area":null},{"id":"2201.08430","title":"Reproducibility in Learning","created":"2022-01-20","cited_by_count":44,"area":null},{"id":"2203.06020","title":"Enhancing Adversarial Training with Second-Order Statistics of Weights","created":"2022-03-11","cited_by_count":42,"area":null},{"id":"2303.12921","title":"Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization","created":"2023-03-22","cited_by_count":42,"area":null},{"id":"2107.10171","title":"Leave-one-out Unfairness","created":"2021-07-21","cited_by_count":36,"area":null},{"id":"2405.01719","title":"Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks","created":"2024-05-02","cited_by_count":28,"area":null},{"id":"2203.02073","title":"Differentially Private Label Protection in Split Learning","created":"2022-03-04","cited_by_count":26,"area":null},{"id":"2201.10408","title":"An Algorithmic Framework for Bias Bounties","created":"2022-01-25","cited_by_count":21,"area":null},{"id":"2102.01065","title":"Do Question Answering Modeling Improvements Hold Across Benchmarks?","created":"2021-02-01","cited_by_count":20,"area":null},{"id":"2105.00303","title":"RATT: Leveraging Unlabeled Data to Guarantee Generalization","created":"2021-05-01","cited_by_count":20,"area":null},{"id":"2303.04379","title":"HappyMap: A Generalized Multi-calibration Method","created":"2023-03-08","cited_by_count":18,"area":null},{"id":"2103.01294","title":"Wide Network Learning with Differential Privacy","created":"2021-03-01","cited_by_count":17,"area":null},{"id":"2305.14311","title":"Statistical Indistinguishability of Learning Algorithms","created":"2023-05-23","cited_by_count":17,"area":null},{"id":"2210.03165","title":"A Theory of Dynamic Benchmarks","created":"2022-10-06","cited_by_count":16,"area":null},{"id":"2102.02976","title":"Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels","created":"2021-02-05","cited_by_count":15,"area":null},{"id":"2102.05242","title":"Patterns, predictions, and actions: A story about machine learning","created":"2021-02-10","cited_by_count":14,"area":null},{"id":"2209.07312","title":"Multicalibrated Regression for Downstream Fairness","created":"2022-09-15","cited_by_count":14,"area":null},{"id":"2310.18428","title":"The Bayesian Stability Zoo","created":"2023-10-27","cited_by_count":13,"area":null},{"id":"2111.10352","title":"On the power of adaptivity in statistical adversaries","created":"2021-11-19","cited_by_count":12,"area":null},{"id":"2210.01318","title":"OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization","created":"2022-10-04","cited_by_count":12,"area":null},{"id":"2311.06412","title":"Online multiple testing with e-values","created":"2023-11-10","cited_by_count":12,"area":null},{"id":"2202.12968","title":"Does Label Differential Privacy Prevent Label Inference Attacks?","created":"2022-02-25","cited_by_count":11,"area":null},{"id":"2204.03230","title":"What You See is What You Get: Principled Deep Learning via Distributional Generalization","created":"2022-04-07","cited_by_count":11,"area":null},{"id":"2207.05377","title":"On the Generalization for Transfer Learning: An Information-Theoretic Analysis","created":"2022-07-12","cited_by_count":11,"area":null},{"id":"2110.11688","title":"Differentially Private Coordinate Descent for Composite Empirical Risk Minimization","created":"2021-10-22","cited_by_count":10,"area":null},{"id":"2208.05949","title":"Valid Inference After Causal Discovery","created":"2022-08-11","cited_by_count":10,"area":null},{"id":"2410.24100","title":"Benchmark Data Repositories for Better Benchmarking","created":"2024-10-31","cited_by_count":10,"area":null},{"id":"2107.14527","title":"A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators","created":"2021-07-30","cited_by_count":9,"area":null},{"id":"2201.08704","title":"Adaptive Data Analysis with Correlated Observations","created":"2022-01-21","cited_by_count":9,"area":null},{"id":"2302.05707","title":"On Differential Privacy and Adaptive Data Analysis with Bounded Space","created":"2023-02-11","cited_by_count":9,"area":null},{"id":"2302.08661","title":"Subsampling Suffices for Adaptive Data Analysis","created":"2023-02-17","cited_by_count":9,"area":null},{"id":"2102.13189","title":"Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data","created":"2021-02-25","cited_by_count":8,"area":null},{"id":"2211.17096","title":"PAC Verification of Statistical Algorithms","created":"2022-11-28","cited_by_count":8,"area":null},{"id":"2101.06417","title":"Bayesian Inference Forgetting","created":"2021-01-16","cited_by_count":7,"area":null},{"id":"2106.10761","title":"Generalization in the Face of Adaptivity: A Bayesian Perspective","created":"2021-06-20","cited_by_count":7,"area":null},{"id":"2108.07880","title":"Statistically Near-Optimal Hypothesis Selection","created":"2021-08-17","cited_by_count":7,"area":null},{"id":"2307.04733","title":"A unifying framework for differentially private quantum algorithms","created":"2023-07-10","cited_by_count":7,"area":null},{"id":"2605.05973","title":"Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarking","created":"2026-05-07","cited_by_count":7,"area":null},{"id":"2201.09209","title":"Weight Expansion: A New Perspective on Dropout and Generalization","created":"2022-01-23","cited_by_count":6,"area":null},{"id":"2305.01177","title":"Unbounded Differentially Private Quantile and Maximum Estimation","created":"2023-05-02","cited_by_count":6,"area":null},{"id":"2606.22731","title":"Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements","created":"2026-06-22","cited_by_count":6,"area":null},{"id":"2202.13736","title":"On the Robustness of CountSketch to Adaptive Inputs","created":"2022-02-28","cited_by_count":5,"area":null},{"id":"2305.15452","title":"Adaptive Data Analysis in a Balanced Adversarial Model","created":"2023-05-24","cited_by_count":5,"area":null},{"id":"2306.09425","title":"Arbitrariness Lies Beyond the Fairness-Accuracy Frontier","created":"2023-06-15","cited_by_count":5,"area":null},{"id":"2506.20173","title":"Valid Selection among Conformal Sets","created":"2025-06-25","cited_by_count":5,"area":null},{"id":"2207.01560","title":"High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent","created":"2022-07-04","cited_by_count":4,"area":null},{"id":"2210.08248","title":"A Closer Look at the Calibration of Differentially Private Learners","created":"2022-10-15","cited_by_count":4,"area":null},{"id":"2211.11434","title":"Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)","created":"2022-11-21","cited_by_count":4,"area":null},{"id":"2307.02501","title":"Generalization Guarantees via Algorithm-dependent Rademacher Complexity","created":"2023-07-04","cited_by_count":4,"area":null},{"id":"2303.01709","title":"Streaming Algorithms for Learning with Experts: Deterministic Versus Robust","created":"2023-03-03","cited_by_count":3,"area":null},{"id":"2405.14422","title":"Unraveling overoptimism and publication bias in ML-driven science","created":"2024-05-23","cited_by_count":3,"area":null},{"id":"2412.14396","title":"Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis","created":"2024-12-18","cited_by_count":3,"area":null},{"id":"2511.08791","title":"The Probably Approximately Correct Learning Model in Computational Learning Theory","created":"2025-11-11","cited_by_count":3,"area":null},{"id":"2207.00956","title":"Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs","created":"2022-07-03","cited_by_count":2,"area":null},{"id":"2303.00501","title":"OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2412.09686","title":"The Cost of Replicability in Active Learning","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2511.11413","title":"Multicalibration Yields Better Matchings","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2112.08439","title":"Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2209.02064","title":"GRASP: A Goodness-of-Fit Test for Classification Learning","created":"2022-09-05","cited_by_count":1,"area":null},{"id":"2405.13375","title":"Adaptive Data Analysis for Growing Data","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2412.17008","title":"Data value estimation on private gradients","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2501.03222","title":"Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2507.13700","title":"Tight Bounds for Answering Adaptively Chosen Concentrated Queries","created":"2025-07-18","cited_by_count":1,"area":null},{"id":"2510.01291","title":"Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2602.23360","title":"Model Agreement via Anchoring","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2608.07303","title":"Winning by Peeking: Unenforced Budgets and Test-Set Selection Inflate Short-Budget AutoML Comparisons","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2203.01381","title":"Stable and Semi-stable Sampling Approaches for Continuously Used Samples","created":"2022-03-02","cited_by_count":0,"area":null},{"id":"2204.08809","title":"Making Progress Based on False Discoveries","created":"2022-04-19","cited_by_count":0,"area":null},{"id":"2207.10668","title":"Improved Generalization Guarantees in Restricted Data Models","created":"2022-07-20","cited_by_count":0,"area":null},{"id":"2301.09203","title":"Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model","created":"2023-01-22","cited_by_count":0,"area":null},{"id":"2309.01030","title":"Online Adaptive Mahalanobis Distance Estimation","created":"2023-09-02","cited_by_count":0,"area":null},{"id":"2310.20299","title":"Verification of Neural Networks Local Differential Classification Privacy","created":"2023-10-31","cited_by_count":0,"area":null},{"id":"2311.00346","title":"Adversarially Robust Distributed Count Tracking via Partial Differential Privacy","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2406.07712","title":"Loss Gradient Gaussian Width based Generalization and Optimization Guarantees","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2507.16345","title":"The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\\ell_2$ Norm Estimation","created":"2025-07-22","cited_by_count":0,"area":null},{"id":"2509.02391","title":"Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2602.07732","title":"Efficient Adaptive Data Analysis over Dense Distributions","created":"2026-02-07","cited_by_count":0,"area":null},{"id":"2602.07999","title":"Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities","created":"2026-02-08","cited_by_count":0,"area":null},{"id":"2602.09499","title":"Computationally Efficient Replicable Learning of Parities and Applications","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2602.14423","title":"The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization","created":"2026-02-16","cited_by_count":0,"area":null},{"id":"2603.07319","title":"ShakyPrepend: A Multi-Group Learner with Improved Sample Complexity","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2605.19625","title":"Optimal Reconstruction from Linear Queries","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.24558","title":"Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.25004","title":"Certification of Machine Learning Models via Directional Sharpness","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.25269","title":"Stabilizing black-box algorithms through task-oriented randomization","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.07085","title":"Is Randomness Necessary for Adaptive Data Analysis?","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.15528","title":"Publicly-Verifiable Certificates for Statistical Algorithms","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2609.32109","title":"How Reusable Are Benchmarks with Richer Feedback?","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.33499","title":"The cost of useful natural gradient updates","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}