conftrace_

finite sample

14 papers

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Co-occurring keywords · papers mentioning both

generalization bound (3) convergence rate (2) finite-sample analysis (2) mean squared error (2) causal discovery (2) model selection (2) learning theory (2) causal inference (2) differential privacy (2) identifiability theory (1)

Papers

Active Treatment Effect Estimation via Limited Samples ICML 2025 A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators ICML 2025 Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research ICML 2025 Foundations of Testing for Finite-Sample Causal Discovery ICML 2024 Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024 Statistical Properties of Robust Satisficing ICML 2024 Convergence Guarantees for the Good-Turing Estimator JMLR 2022 Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 A Learning Theoretic Perspective on Local Explainability ICLR 2021 A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Learning with User-Level Privacy NeurIPS 2021 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 Cluster Stability for Finite Samples NeurIPS 2007