Mathematics & Optimization

Locally Private Hypothesis Testing ICML 2018 Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Loss Decomposition for Fast Learning in Large Output Spaces ICML 2018 Lower Bounds for Higher-Order Convex Optimization COLT 2018 Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NeurIPS 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NeurIPS 2018 LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning IJCAI 2018 Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees ICML 2018 Mallows Models for Top-k Lists NeurIPS 2018 Manifold Learning in Quotient Spaces CVPR 2018 Markov Random Field MAP as Set Partitioning PGM 2018 Matrix completability analysis via graph k-connectivity AISTATS 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Maximin Share Allocations on Cycles IJCAI 2018 Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard JMLR 2018 Maximum Selection and Sorting with Adversarial Comparators JMLR 2018 Measures of distortion for machine learning NeurIPS 2018 Medoids in Almost-Linear Time via Multi-Armed Bandits AISTATS 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 Methods for off-line/on-line optimization under uncertainty IJCAI 2018 Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NeurIPS 2018