Mathematics & Optimization

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 Practical Null Steering in Millimeter Wave Networks NSDI 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 Prediction against a limited adversary JMLR 2021 Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021 Preference-based Online Learning with Dueling Bandits: A Survey JMLR 2021 Preference Elicitation as Average-Case Sorting AAAI 2021 Present-Biased Optimization AAAI 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021 Principled Simplicial Neural Networks for Trajectory Prediction ICML 2021 Prior-independent Dynamic Auctions for a Value-maximizing Buyer NeurIPS 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates 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 Private Non-smooth ERM and SCO in Subquadratic Steps NeurIPS 2021 Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021 Probabilistic DAG search UAI 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 Probabilistic robust linear quadratic regulators with Gaussian processes L4DC 2021