Mathematics

How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues AAAI 2022 How Powerful are Spectral Graph Neural Networks ICML 2022 Hyperbolic Relevance Matching for Neural Keyphrase Extraction NAACL 2022 Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel AAAI 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 Hypothesis Testing for Differentially Private Linear Regression NeurIPS 2022 Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NeurIPS 2022 Identity Testing of Reversible Markov Chains AISTATS 2022 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization ICML 2022 Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022 Improved Coresets for Euclidean k-Means NeurIPS 2022 Improved Induction of Narrative Chains via Cross-Document Relations NAACL 2022 Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Improving sign-random-projection via count sketch UAI 2022 Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022 (In)Alienable Possession in Mandarin Relative Clauses AACL 2022 Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective EMNLP 2022 Inference and Sampling for Archimax Copulas NeurIPS 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise ICML 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract) AAAI 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Invariant Ancestry Search ICML 2022