phase transition

How many degrees of freedom do we need to train deep networks: a loss landscape perspective ICLR 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Multiway Spherical Clustering via Degree-Corrected Tensor Block Models AISTATS 2022 Network change point localisation under local differential privacy NeurIPS 2022 Phase Transition from Clean Training to Adversarial Training NeurIPS 2022 Phase transitions in when feedback is useful NeurIPS 2022 Statistical and Computational Phase Transitions in Group Testing COLT 2022 Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NeurIPS 2022 The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022 A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021 Detection of Signal in the Spiked Rectangular Models ICML 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 Group testing and local search: is there a computational-statistical gap? COLT 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels COLT 2021 Phase Transitions, Distance Functions, and Implicit Neural Representations ICML 2021 Rank-one matrix estimation: analytic time evolution of gradient descent dynamics COLT 2021 RMSprop converges with proper hyper-parameter ICLR 2021 SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality COLT 2021 Sparse Quantized Spectral Clustering ICLR 2021 Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021 Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021 Support vector machines and linear regression coincide with very high-dimensional features NeurIPS 2021 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020