Statistical Learning

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access EMNLP 2024 A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions ALT 2024 Approximate Information Tests on Statistical Submanifolds JMLR 2024 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024 Approximating mutual information of high-dimensional variables using learned representations NeurIPS 2024 A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation IJCAI 2024 AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction NeurIPS 2024 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ICLR 2024 A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data ICLR 2024 A Statistical Framework for Data-dependent Retrieval-Augmented Models ICML 2024 Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning ICLR 2024 Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 A Universal Growth Rate for Learning with Smooth Surrogate Losses NeurIPS 2024 Automated Efficient Estimation using Monte Carlo Efficient Influence Functions NeurIPS 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Autoregressive Bandits AISTATS 2024 Bagging Provides Assumption-free Stability JMLR 2024 Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance AAAI 2024 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Benchmark Transparency: Measuring the Impact of Data on Evaluation NAACL 2024 BERT-IRT: Accelerating Item Piloting with BERT Embeddings and Explainable IRT Models NAACL 2024