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)

Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions AAAI 2026 SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce AAAI 2026 Safe Control using Learned Safety Filters and Adaptive Conformal Inference L4DC 2026 SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction WACV 2026 SAFO: Stable Adaptive Fairness Optimization for LLM-Based Social Survey Simulation ACL 2026 SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models AAAI 2026 SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph EACL 2026 Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model ALT 2026 Sample-Efficient Omniprediction for Proper Losses COLT 2026 Sample-Near-Optimal Agnostic Boosting with Improved Running Time ALT 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 Sandwiching Polynomials for Geometric Concepts with Low Intrinsic Dimension COLT 2026 SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation WACV 2026 Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting AAAI 2026 Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization AAAI 2026 Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition AAAI 2026 Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026 Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance CVPR 2026 Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint) AAAI 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems CVPR 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 Scaling Law for Large Wireless Models AAAI 2026 Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation AAAI 2026 Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination WACV 2026