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)

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift CLeaR 2026 Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026 Shrinking the Teacher: An Adaptive Teaching Paradigm for Asymmetric EEG-Vision Alignment AAAI 2026 SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization (Abstract Reprint) AAAI 2026 SIDE: Surrogate Conditional Data Extraction from Diffusion Models AAAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026 Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction COLT 2026 Single-Network Asymptotics for Causal Inference with Partial Network Data UAI 2026 skwdro: a library for Wasserstein distributionally robust machine learning JMLR 2026 SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts AAAI 2026 Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract) AAAI 2026 Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks AAAI 2026 SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing AAAI 2026 SMiLE: Provably Enforcing Global Relational Properties in Neural Networks AAAI 2026 SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data AAAI 2026 Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms ALT 2026 SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training WACV 2026 SoMe: A Realistic Benchmark for LLM-based Social Media Agents AAAI 2026 SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models CVPR 2026 SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization AAAI 2026 Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning AAAI 2026 Space-Efficient Language Generation in the Limit COLT 2026 SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning AAAI 2026 Sparse Nonparametric Contextual Bandits ALT 2026