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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)

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization NIPS 2018
Derivative Estimation in Random Design NIPS 2018
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NIPS 2018
TopRank: A practical algorithm for online stochastic ranking NIPS 2018
Practical Methods for Graph Two-Sample Testing NIPS 2018
Fast greedy algorithms for dictionary selection with generalized sparsity constraints NIPS 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NIPS 2018
Direct Estimation of Differences in Causal Graphs NIPS 2018
Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NIPS 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning NIPS 2018
Stochastic Spectral and Conjugate Descent Methods NIPS 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NIPS 2018
Solving Large Sequential Games with the Excessive Gap Technique NIPS 2018
Step Size Matters in Deep Learning NIPS 2018
Convex Elicitation of Continuous Properties NIPS 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NIPS 2018
Bandit Learning with Positive Externalities NIPS 2018
Minimax Statistical Learning with Wasserstein distances NIPS 2018
(Probably) Concave Graph Matching NIPS 2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data NIPS 2018
An Information-Theoretic Analysis for Thompson Sampling with Many Actions NIPS 2018
Proximal SCOPE for Distributed Sparse Learning NIPS 2018