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)

Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021 Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation AAAI 2021 A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021 A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021 Additive Phoneme-Aware Margin Softmax Loss for Language Recognition Interspeech 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021 Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021 Addressing the Vulnerability of NMT in Input Perturbations NAACL 2021 A Decomposition Model for Stereo Matching CVPR 2021 A Deep and Recurrent Architecture for Primate Vocalization Classification Interspeech 2021 A Deep Conditioning Treatment of Neural Networks ALT 2021 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 A Design Space Study for LISTA and Beyond ICLR 2021 A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021 A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021 A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adjusting for Autocorrelated Errors in Neural Networks for Time Series NeurIPS 2021 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021