statistical estimation

Stable algorithms Lower Bounds for Estimation from MMSE Discontinuities: Extended Abstract COLT 2026 The Monotonicity of the Franz–Parisi Potential Is Equivalent to Low-Degree MMSE Lower Bounds: Extended Abstract COLT 2026 Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025 Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025 Oracle efficient truncated statistics ICLR 2025 A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions ALT 2024 Automated Efficient Estimation using Monte Carlo Efficient Influence Functions NeurIPS 2024 Convergence Behavior of an Adversarial Weak Supervision Method UAI 2024 Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024 Efficient multi-prompt evaluation of LLMs NeurIPS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 On Differentially Private U Statistics NeurIPS 2024 Online Estimation via Offline Estimation: An Information-Theoretic Framework NeurIPS 2024 Precise Model Benchmarking with Only a Few Observations EMNLP 2024 Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm NeurIPS 2024 Towards a statistical theory of data selection under weak supervision ICLR 2024 Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness NeurIPS 2024 Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NeurIPS 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 2023 Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023