Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Sample complexity of population recovery COLT 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Sampling-Based Speech Parameter Generation Using Moment-Matching Networks Interspeech 2017 Sampling for Approximate Maximum Search in Factorized Tensor IJCAI 2017 Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017 SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient ICML 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Scalable Bayesian Rule Lists ICML 2017 Scalable Constraint-based Virtual Data Center Allocation IJCAI 2017 Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data IJCAI 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Scalable Learning of Non-Decomposable Objectives AISTATS 2017 Scalable Levy Process Priors for Spectral Kernel Learning NeurIPS 2017 Scalable Log Determinants for Gaussian Process Kernel Learning NeurIPS 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 SCL: Simplifying Distributed SDN Control Planes NSDI 2017 Score Aggregation via Spectral Method IJCAI 2017 Searching for Well-Behaved Fragments of Halpern-Shoham Logic IJCAI 2017 Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017 Securing and scaling cryptocurrencies IJCAI 2017