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)

FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set UAI 2025 FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025 Feasibility-Driven Trust Region Bayesian Optimization AutoML 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025 Feasible Learning AISTATS 2025 FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation ICML 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 Feature-Based Online Bilateral Trade ICLR 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry ICML 2025 Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions ICML 2025 Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025 Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions ICML 2025 Feature out! Let Raw Image as Your Condition for Blind Face Restoration ICML 2025 Feature-Preserving Mesh Decimation for Normal Integration CVPR 2025 Feature Selection for Latent Factor Models CVPR 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 FedBEns: One-Shot Federated Learning based on Bayesian Ensemble ICML 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity IJCAI 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025