Statistical Learning

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking NeurIPS 2024 What Makes Models Compositional? A Theoretical View IJCAI 2024 What’s under the hood: Investigating Automatic Metrics on Meeting Summarization EMNLP 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024 Who Finds This Voice Attractive? A Large-Scale Experiment Using In-the-Wild Data Interspeech 2024 Why is parameter averaging beneficial in SGD? An objective smoothing perspective AISTATS 2024 Working Memory Capacity of ChatGPT: An Empirical Study AAAI 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 L_2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting NeurIPS 2023 A Bounded Ability Estimation for Computerized Adaptive Testing NeurIPS 2023 A/B Testing in Network Data with Covariate-Adaptive Randomization ICML 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations ICML 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 A Cross-Moment Approach for Causal Effect Estimation NeurIPS 2023 Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios ICCV 2023 Adaptive Data Depth via Multi-Armed Bandits JMLR 2023 Adaptive Learning of Density Ratios in RKHS JMLR 2023 Adaptive Principal Component Regression with Applications to Panel Data NeurIPS 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023