Skip to content
conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Parallel Streaming Wasserstein Barycenters NeurIPS 2017 Parametric Simplex Method for Sparse Learning NeurIPS 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Perishability of Data: Dynamic Pricing under Varying-Coefficient Models JMLR 2017 Pessimistic Leader-Follower Equilibria with Multiple Followers IJCAI 2017 Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation AISTATS 2017 Phase Transitions in the Pooled Data Problem NeurIPS 2017 Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017 Poisson intensity estimation with reproducing kernels AISTATS 2017 Polynomial time algorithms for dual volume sampling NeurIPS 2017 Position-based Multiple-play Bandit Problem with Unknown Position Bias NeurIPS 2017 Practical Locally Private Heavy Hitters NeurIPS 2017 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017 Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network NeurIPS 2017 Probabilistic Path Hamiltonian Monte Carlo ICML 2017 Process-constrained batch Bayesian optimisation NeurIPS 2017 Projection-free Distributed Online Learning in Networks ICML 2017 Projection Free Rank-Drop Steps IJCAI 2017 Proportional Rankings IJCAI 2017 Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017 Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017