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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field WACV 2025 Voting or Consensus? Decision-Making in Multi-Agent Debate ACL 2025 VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning AAAI 2025 VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints AAAI 2025 VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos ICCV 2025 VSRM: A Robust Mamba-Based Framework for Video Super-Resolution ICCV 2025 Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning ICML 2025 Vulnerability of Text-to-Image Models to Prompt Template Stealing: A Differential Evolution Approach ACL 2025 Wait-Less Offline Tuning and Re-solving for Online Decision Making ICML 2025 Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models JMLR 2025 Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Wasserstein Flow Matching: Generative Modeling Over Families of Distributions ICML 2025 Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference AISTATS 2025 Wasserstein Policy Optimization ICML 2025 Wasserstein-Regularized Conformal Prediction under General Distribution Shift ICLR 2025 WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness NAACL 2025 Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation IJCAI 2025 Wavelet-based Positional Representation for Long Context ICLR 2025 Wavelet Diffusion Neural Operator ICLR 2025 WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition AAAI 2025 WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling ICLR 2025 Weak-to-Strong Generalization Even in Random Feature Networks, Provably ICML 2025 Weak-to-Strong Generalization Through the Data-Centric Lens ICLR 2025