Learning Theory

Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022 Exploring Memorization in Adversarial Training ICLR 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing EMNLP 2022 Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks NeurIPS 2022 Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability ICLR 2022 Extracting Operator Trees from Model Embeddings EMNLP 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NeurIPS 2022 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022 Fairness-Aware PAC Learning from Corrupted Data JMLR 2022 Fairness Trade-Offs and Partial Debiasing ACML 2022 Faster online calibration without randomization: interval forecasts and the power of two choices COLT 2022 Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022 Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay NeurIPS 2022 Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022 Feature learning and random features in standard finite-width convolutional neural networks: An empirical study UAI 2022 Feature Learning and Signal Propagation in Deep Neural Networks ICML 2022 FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022 Finding Dataset Shortcuts with Grammar Induction EMNLP 2022 Finding Dynamics Preserving Adversarial Winning Tickets AISTATS 2022 Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks EMNLP 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NeurIPS 2022 Finite Sample Analysis Of Dynamic Regression Parameter Learning NeurIPS 2022 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022