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)

Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling CVPR 2023 Rethinking Graph Lottery Tickets: Graph Sparsity Matters ICLR 2023 Rethinking skip connection model as a learnable Markov chain ICLR 2023 Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms ICLR 2023 Rethinking the Expressive Power of GNNs via Graph Biconnectivity ICLR 2023 Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale ACL 2023 Rethinking the Visual Cues in Audio-Visual Speaker Extraction Interspeech 2023 Rethinking Translation Memory Augmented Neural Machine Translation ACL 2023 Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023 Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023 Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations NeurIPS 2023 Revisiting Bayesian network learning with small vertex cover UAI 2023 Revisiting Dependency Length and Intervener Complexity Minimisation on a Parallel Corpus in 35 Languages EACL 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023 Revisiting Entropy Rate Constancy in Text EMNLP 2023 Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NeurIPS 2023 Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Revisiting Implicit Differentiation for Learning Problems in Optimal Control NeurIPS 2023 Revisiting inference after prediction JMLR 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Revisiting Non-Autoregressive Translation at Scale ACL 2023