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sample complexity

1,587 papers

Papers

Improved Replicable Boosting with Majority-of-Majorities ALT 2026 Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach COLT 2026 Invited Open Problem: Does Differential Privacy Make PAC Learning Much Harder? COLT 2026 Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent? COLT 2026 Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise COLT 2026 Learning Conditional Averages COLT 2026 Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract) COLT 2026 On efficient robust regression with subquadratic samples COLT 2026 On the Convergence of Self-Improving Online LLM Alignment UAI 2026 On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA COLT 2026 Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026 Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions COLT 2026 Optimal Sample Complexity Lower Bounds on Conditional Independence Testing COLT 2026 Partition Function Estimation under Bounded f-Divergence COLT 2026 Private Linear Regression via a Down-Sensitivity to Privacy Reduction COLT 2026 Probably Correct Optimal Stable Matching under Two-Sided Uncertainty UAI 2026 Relatively Smart: A New Approach for Instance-Optimal Learning COLT 2026 Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model ALT 2026 Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees UAI 2026 Sample-Efficient Omniprediction for Proper Losses COLT 2026 Sample-Near-Optimal Agnostic Boosting with Improved Running Time ALT 2026 Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026 Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction COLT 2026