Learning Theory

Efficient Discrepancy Testing for Learning with Distribution Shift NeurIPS 2024 Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials COLT 2024 Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation ICML 2024 Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks ICML 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NeurIPS 2024 Emergent Equivariance in Deep Ensembles ICML 2024 Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining ICML 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024 Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning ICML 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 2024 Evaluating Extrapolation Ability of Large Language Model in Chemical Domain ACL 2024 Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization EMNLP 2024 Evaluating Saliency Explanations in NLP by Crowdsourcing COLING 2024 Evaluating Structural Generalization in Neural Machine Translation ACL 2024 Evaluating the Deductive Competence of Large Language Models NAACL 2024 Evaluation of Test-Time Adaptation Under Computational Time Constraints ICML 2024 Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024 Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024 Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs ICML 2024 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Exploiting Data Geometry in Machine Learning AAAI 2024