Theory

Local Intrinsic Dimensional Entropy AAAI 2023 Localized Randomized Smoothing for Collective Robustness Certification ICLR 2023 Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning NeurIPS 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023 Log-linear Guardedness and its Implications ACL 2023 Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions EACL 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Lower Bounds for Learning in Revealing POMDPs ICML 2023 Low Tensor Rank Learning of Neural Dynamics NeurIPS 2023 Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023 MADG: Margin-based Adversarial Learning for Domain Generalization NeurIPS 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NeurIPS 2023 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 Measuring axiomatic soundness of counterfactual image models ICLR 2023 Mechanism Design for Collaborative Normal Mean Estimation NeurIPS 2023 Mechanistic Mode Connectivity ICML 2023 Meek Separators and Their Applications in Targeted Causal Discovery NeurIPS 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise ICLR 2023 Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023 Meta-Causal Learning for Single Domain Generalization CVPR 2023 Meta-Learning for Simple Regret Minimization AAAI 2023 Metric Score Landscape Challenge (MSLC23): Understanding Metrics’ Performance on a Wider Landscape of Translation Quality EMNLP 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023