conftrace_
← Mathematics & Optimization
Mathematics & Optimization ›

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

1
15
119
411
1322
644
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Accelerated Spectral Ranking ICML 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches ICML 2018
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy ICML 2018
Bucket Renormalization for Approximate Inference ICML 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018
Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions ICML 2018
Approximation Guarantees for Adaptive Sampling ICML 2018
Improving Optimization for Models With Continuous Symmetry Breaking ICML 2018
Bayesian Optimization of Combinatorial Structures ICML 2018
Geodesic Convolutional Shape Optimization ICML 2018
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018
Improved large-scale graph learning through ridge spectral sparsification ICML 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
Hierarchical Clustering with Structural Constraints ICML 2018
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? ICML 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018
Stein Points ICML 2018
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018
Learning a Mixture of Two Multinomial Logits ICML 2018
An Iterative, Sketching-based Framework for Ridge Regression ICML 2018
Stochastic Wasserstein Barycenters ICML 2018
On Acceleration with Noise-Corrupted Gradients ICML 2018