Mathematics

Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021 Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NeurIPS 2021 Integrated Defense for Resilient Graph Matching ICML 2021 Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021 Is Information Density Uniform in Task-Oriented Dialogues? EMNLP 2021 Ising Model Selection Using ℓ_1-Regularized Linear Regression: A Statistical Mechanics Analysis NeurIPS 2021 Isolation Graph Kernel AAAI 2021 Iterative Connecting Probability Estimation for Networks NeurIPS 2021 It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels COLT 2021 Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021 KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NeurIPS 2021 Keep Your Distance: Land Division With Separation IJCAI 2021 Kemeny Consensus Complexity IJCAI 2021 Kernel Stein Discrepancy Descent ICML 2021 Kernel Thinning COLT 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Layer-wise Model Pruning based on Mutual Information EMNLP 2021 LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction SemEval 2021 Learning 3D Dense Correspondence via Canonical Point Autoencoder NeurIPS 2021 Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021 Learning a mixture of two subspaces over finite fields ALT 2021 Learning and Testing Irreducible Markov Chains via the k-Cover Time ALT 2021 Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions NeurIPS 2021