Mathematics

P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 Pointwise Bounds for Distribution Estimation under Communication Constraints NeurIPS 2021 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs AAAI 2021 Post-Contextual-Bandit Inference NeurIPS 2021 Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 Precise Minimax Regret for Logistic Regression with Categorical Feature Values ALT 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NeurIPS 2021 Predicting Molecular Conformation via Dynamic Graph Score Matching NeurIPS 2021 Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021 Private and Non-private Uniformity Testing for Ranking Data NeurIPS 2021 Privately Learning Mixtures of Axis-Aligned Gaussians NeurIPS 2021 Privately Learning Subspaces NeurIPS 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Projection techniques to update the truncated SVD of evolving matrices with applications ICML 2021 PROPm Allocations of Indivisible Goods to Multiple Agents IJCAI 2021 Proportional Representation under Single-Crossing Preferences Revisited AAAI 2021 Prosodic Accommodation in Face-to-Face and Telephone Dialogues Interspeech 2021 PSD Representations for Effective Probability Models NeurIPS 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 Quantifying Variational Approximation for Log-Partition Function COLT 2021 Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Random Coordinate Langevin Monte Carlo COLT 2021