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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy CVPR 2025 Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 2025 Breaking Token Into Concepts: Exploring Extreme Compression in Token Representation Via Compositional Shared Semantics EMNLP 2025 Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms ACL 2025 BridgeVoC: Neural Vocoder with Schrödinger Bridge IJCAI 2025 Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization ICLR 2025 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach ICML 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation ICLR 2025 Bridging Local and Global Knowledge via Transformer in Board Games IJCAI 2025 Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis RSS 2025 Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem AISTATS 2025 Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach ACL 2025 Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems EMNLP 2025 Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression CVPR 2025 Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space ICLR 2025 Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention ACL 2025 Bridging the Theoretical Gap in Randomized Smoothing AISTATS 2025 Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach ICLR 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025 Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling ICLR 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025 BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025 Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025