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)

RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs ICCV 2021 RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation CVPR 2021 R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina ICCV 2021 RST Parsing from Scratch NAACL 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions CoRL 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021 Safe Pontryagin Differentiable Programming NeurIPS 2021 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Safe Reinforcement Learning with Linear Function Approximation ICML 2021 Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021 Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning RSS 2021 Safety Assurance for Systems with Machine Learning Components AAAI 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 SALAD: Self-Assessment Learning for Action Detection WACV 2021 Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows WACV 2021 Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons NeurIPS 2021 Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model ALT 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021