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)

Hybrid Routing for a Mixture of LoRA Experts AAAI 2026 HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026 HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026 Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint) AAAI 2026 HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems AAAI 2026 I-INR: Iterative Implicit Neural Representations AAAI 2026 Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model AAAI 2026 ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints AAAI 2026 Imbalanced Gradients in RL Post-Training of Multi-Task LLMs EACL 2026 I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search EACL 2026 Importance-Aware Data Selection for Efficient LLM Instruction Tuning AAAI 2026 Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models EACL 2026 Improved Differentially Private Algorithms for Rank Aggregation AAAI 2026 Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy ALT 2026 Improved Replicable Boosting with Majority-of-Majorities ALT 2026 Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention EACL 2026 Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts EACL 2026 Improving EV Aggregate Flexibility with End-to-End Learning L4DC 2026 Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics AAAI 2026 Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026 Improving online FDR procedures via online analogs of e-closure and compound e-values UAI 2026 Improving Sparse IMU-based Motion Capture with Motion Label Smoothing AAAI 2026 Improving the Convergence of Private Shuffled Gradient Methods with Public Data UAI 2026 Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026