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)

Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing EMNLP 2025 Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS ICCV 2025 Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion ICML 2025 Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025 Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks COLT 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving ACL 2025 BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution CVPR 2025 BiasFilter: An Inference-Time Debiasing Framework for Large Language Models EMNLP 2025 Bias Mitigation in Graph Diffusion Models ICLR 2025 Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025 Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning IJCAI 2025 Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025 Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models ICLR 2025 BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data ACL 2025 Big Escape Benchmark: Evaluating Human-Like Reasoning in Language Models via Real-World Escape Room Challenges ACL 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025 BILBO: BILevel Bayesian Optimization ICML 2025 Bilevel Learning for Bilevel Planning RSS 2025 Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025 Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity AISTATS 2025 Bilinear MLPs enable weight-based mechanistic interpretability ICLR 2025 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning CVPR 2025 Binary Losses for Density Ratio Estimation ICLR 2025 BinarySelect to Improve Accessibility of Black-Box Attack Research COLING 2025