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)

Credit Assignment in Neural Networks through Deep Feedback Control NeurIPS 2021 Credit Assignment Through Broadcasting a Global Error Vector NeurIPS 2021 CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement CVPR 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021 Cross-Camera Convolutional Color Constancy ICCV 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Crossing Cuts Polygonal Puzzles: Models and Solvers CVPR 2021 Cross-Iteration Batch Normalization CVPR 2021 Cross-Lingual Word Embedding Refinement by ℓ1 Norm Optimisation NAACL 2021 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021 Crystallization Learning with the Delaunay Triangulation ICML 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021 Custom-Design of FDR Encodings: The Case of Red-Black Planning IJCAI 2021 Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning AAAI 2021 CVAE-based Re-anchoring for Implicit Discourse Relation Classification EMNLP 2021 Cyclically Equivariant Neural Decoders for Cyclic Codes ICML 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021 Dangers of Bayesian Model Averaging under Covariate Shift NeurIPS 2021 DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits AAAI 2021 DARTS-: Robustly Stepping out of Performance Collapse Without Indicators ICLR 2021 Dash: Semi-Supervised Learning with Dynamic Thresholding ICML 2021 Data and Parameter Scaling Laws for Neural Machine Translation EMNLP 2021