Theory

Neural Causal Models for Counterfactual Identification and Estimation ICLR 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data ICML 2023 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning NeurIPS 2023 Neural Oscillators are Universal NeurIPS 2023 Neural Policy Safety Verification via Predicate Abstraction: CEGAR AAAI 2023 Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023 Neural tangent kernel at initialization: linear width suffices UAI 2023 NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs EMNLP 2023 New Complexity-Theoretic Frontiers of Tractability for Neural Network Training NeurIPS 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Non-parametric identifiability and sensitivity analysis of synthetic control models CLeaR 2023 Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP ACL 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Norm-based Generalization Bounds for Sparse Neural Networks NeurIPS 2023 Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023 Oblivious near-optimal sampling for multidimensional signals with Fourier constraints AISTATS 2023 On Achieving Optimal Adversarial Test Error ICLR 2023 On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization ICML 2023 On Certified Generalization in Structured Prediction NeurIPS 2023 On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data NeurIPS 2023 On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy NeurIPS 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023