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

2

6

6

5

16

67

72

80

102

133

171

219

398

425

440

487

649

812

1,162

1,353

1,487

1,474

1,600

1,870

1,441

372

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Active Learning of Multi-Index Function Models NeurIPS 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012 Affine trajectory deformation for redundant manipulators RSS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 A latent factor model for highly multi-relational data NeurIPS 2012 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 An Integer Optimization Approach to Associative Classification NeurIPS 2012 An Introduction to Artificial Prediction Markets for Classification JMLR 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A Polylog Pivot Steps Simplex Algorithm for Classification NeurIPS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NeurIPS 2012 A quasi-Newton proximal splitting method NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NeurIPS 2012