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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function NIPS 2020
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions NIPS 2020
Dual Instrumental Variable Regression NIPS 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems NIPS 2020
Implicit Regularization and Convergence for Weight Normalization NIPS 2020
Geometric All-way Boolean Tensor Decomposition NIPS 2020
A/B Testing in Dense Large-Scale Networks: Design and Inference NIPS 2020
Partial Optimal Tranport with applications on Positive-Unlabeled Learning NIPS 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes NIPS 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NIPS 2020
Finite Continuum-Armed Bandits NIPS 2020
Co-exposure Maximization in Online Social Networks NIPS 2020
Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs NIPS 2020
Optimal Private Median Estimation under Minimal Distributional Assumptions NIPS 2020
Community detection using fast low-cardinality semidefinite programming NIPS 2020
Modeling Noisy Annotations for Crowd Counting NIPS 2020
Online MAP Inference of Determinantal Point Processes NIPS 2020
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition NIPS 2020
Robust Correction of Sampling Bias using Cumulative Distribution Functions NIPS 2020
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NIPS 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NIPS 2020
Submodular Meta-Learning NIPS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NIPS 2020
Learning discrete distributions with infinite support NIPS 2020
Sufficient dimension reduction for classification using principal optimal transport direction NIPS 2020