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Theory

5,579 papers

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Papers

An Experimental Comparison of Multiwinner Voting Rules on Approval Elections IJCAI 2023 An Explainable Forecasting System for Humanitarian Needs Assessment AAAI 2023 An Exploration of Left-Corner Transformations EMNLP 2023 An extension of disentanglement metrics and its application to voice Interspeech 2023 An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023 A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective NeurIPS 2023 Anti-Symmetric DGN: a stable architecture for Deep Graph Networks ICLR 2023 Anytime-Competitive Reinforcement Learning with Policy Prior NeurIPS 2023 A Parameterized Theory of PAC Learning AAAI 2023 A Permutation-Free Kernel Independence Test JMLR 2023 Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent NeurIPS 2023 Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks ICLR 2023 Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search JMLR 2023 A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023 A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 Are Emergent Abilities of Large Language Models a Mirage? NeurIPS 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Are Transformers Effective for Time Series Forecasting? AAAI 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NeurIPS 2023 A Spectral Theory of Neural Prediction and Alignment NeurIPS 2023