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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Parallel Streaming Wasserstein Barycenters NIPS 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Experimental Design for Learning Causal Graphs with Latent Variables NIPS 2017
Sharpness, Restart and Acceleration NIPS 2017
Countering Feedback Delays in Multi-Agent Learning NIPS 2017
Affinity Clustering: Hierarchical Clustering at Scale NIPS 2017
Alternating minimization for dictionary learning with random initialization NIPS 2017
Min-Max Propagation NIPS 2017
Affine-Invariant Online Optimization and the Low-rank Experts Problem NIPS 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS 2017
Solving Most Systems of Random Quadratic Equations NIPS 2017
Learning with Bandit Feedback in Potential Games NIPS 2017
A Greedy Approach for Budgeted Maximum Inner Product Search NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Online Prediction with Selfish Experts NIPS 2017
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach NIPS 2017
Practical Locally Private Heavy Hitters NIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NIPS 2017
Task-based End-to-end Model Learning in Stochastic Optimization NIPS 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NIPS 2017
The Numerics of GANs NIPS 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NIPS 2017