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)

Convergence rates of a partition based Bayesian multivariate density estimation method NeurIPS 2017 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 Convexified Convolutional Neural Networks ICML 2017 “Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions ICML 2017 Convolutional Neural Networks Analyzed via Convolutional Sparse Coding JMLR 2017 Convolutional Phase Retrieval NeurIPS 2017 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017 Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals IJCAI 2017 Corralling a Band of Bandit Algorithms COLT 2017 Correlational Gaussian Processes for Cross-Domain Visual Recognition CVPR 2017 Cortical microcircuits as gated-recurrent neural networks NeurIPS 2017 Cost-Optimal Learning of Causal Graphs ICML 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 CTC in the Context of Generalized Full-Sum HMM Training Interspeech 2017 Curator: Self-Managing Storage for Enterprise Clusters NSDI 2017 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Data Driven Resource Allocation for Distributed Learning AISTATS 2017 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 DDoS Event Forecasting using Twitter Data IJCAI 2017 Dealing with Range Anxiety in Mean Estimation via Statistical Queries ALT 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Decoupled Neural Interfaces using Synthetic Gradients ICML 2017 Decoupling "when to update" from "how to update" NeurIPS 2017