Statistical Learning

Robust Mixture Learning when Outliers Overwhelm Small Groups NeurIPS 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NeurIPS 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Sample-Efficient Agnostic Boosting NeurIPS 2024 Sample-Efficient Private Learning of Mixtures of Gaussians NeurIPS 2024 Scalable Counterfactual Distribution Estimation in Multivariate Causal Models CLeaR 2024 Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models NeurIPS 2024 Scaling laws for learning with real and surrogate data NeurIPS 2024 Scaling Laws in Linear Regression: Compute, Parameters, and Data NeurIPS 2024 Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024 Semiparametric Efficient Inference in Adaptive Experiments CLeaR 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NeurIPS 2024 Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors NeurIPS 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition Interspeech 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024 Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss ICML 2024 Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024