Statistical Learning

Interpolating Classifiers Make Few Mistakes JMLR 2023 Interpretable Geometric Deep Learning via Learnable Randomness Injection ICLR 2023 Intrinsic dimensionality and generalization properties of the R-norm inductive bias COLT 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023 Investigating model performance in language identification: beyond simple error statistics Interspeech 2023 Is interpolation benign for random forest regression? AISTATS 2023 Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification ICLR 2023 Is the volume of a credal set a good measure for epistemic uncertainty? UAI 2023 Iterative Approximate Cross-Validation ICML 2023 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches JMLR 2023 Kernel-Based Tests for Likelihood-Free Hypothesis Testing NeurIPS 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Kernel QuantTree ICML 2023 Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023 Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages EMNLP 2023 Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023 Large-Scale Correlation Analysis of Automated Metrics for Topic Models ACL 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023 Learning DAGs from Data with Few Root Causes NeurIPS 2023 Learning Distributions over Quantum Measurement Outcomes ICML 2023 Learning Exponential Families from Truncated Samples NeurIPS 2023