Theory

A prior-based approximate latent Riemannian metric AISTATS 2022 A Quantitative Geometric Approach to Neural-Network Smoothness NeurIPS 2022 A Random Matrix Perspective on Random Tensors JMLR 2022 Are All Layers Created Equal? JMLR 2022 Are All Linear Regions Created Equal? AISTATS 2022 A Regret-Variance Trade-Off in Online Learning NeurIPS 2022 Are Neural Topic Models Broken? EMNLP 2022 A Robustness Evaluation Framework for Argument Mining COLING 2022 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract) AAAI 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Structured Dictionary Perspective on Implicit Neural Representations CVPR 2022 A Study on the Ramanujan Graph Property of Winning Lottery Tickets ICML 2022 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 A Theoretical Comparison of Graph Neural Network Extensions ICML 2022 A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract) IJCAI 2022 A Theoretical View on Sparsely Activated Networks NeurIPS 2022 A theory of weight distribution-constrained learning NeurIPS 2022 A Tighter Analysis of Spectral Clustering, and Beyond ICML 2022 A time-resolved theory of information encoding in recurrent neural networks NeurIPS 2022 A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption CLeaR 2022 Average Sensitivity of Euclidean k-Clustering NeurIPS 2022