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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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Papers (including subtopics)

Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025 BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models ICLR 2025 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 Black-Box Detection of Language Model Watermarks ICLR 2025 Black-Box Optimization with Implicit Constraints for Public Policy AAAI 2025 Black-Box Test-Time Prompt Tuning for Vision-Language Models AAAI 2025 Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization AISTATS 2025 Blind Image Deblurring with FFT-ReLU Sparsity Prior WACV 2025 BlitzScale: Fast and Live Large Model Autoscaling with O(1) Host Caching OSDI 2025 Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models ICLR 2025 BlockPruner: Fine-grained Pruning for Large Language Models ACL 2025 Block Verification Accelerates Speculative Decoding ICLR 2025 BoA: Attention-aware Post-training Quantization without Backpropagation ICML 2025 BodyGen: Advancing Towards Efficient Embodiment Co-Design ICLR 2025 BoFire: Bayesian Optimization Framework Intended for Real Experiments JMLR 2025 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL ICLR 2025 Boltzmann priors for Implicit Transfer Operators ICLR 2025 BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet) EMNLP 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training ICML 2025 Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025 Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Boosting Causal Additive Models JMLR 2025 Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025