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)

Minimum-Norm Interpolation Under Covariate Shift ICML 2024 Minimum width for universal approximation using ReLU networks on compact domain ICLR 2024 Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training NeurIPS 2024 Mirror and Preconditioned Gradient Descent in Wasserstein Space NeurIPS 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 MiSO: Optimizing brain stimulation to create neural population activity states NeurIPS 2024 Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NeurIPS 2024 Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization ICML 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing EMNLP 2024 Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information NAACL 2024 Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024 Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024 Mitigating Metric Bias in Minimum Bayes Risk Decoding EMNLP 2024 Mitigating Motion Blur in Neural Radiance Fields with Events and Frames CVPR 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint ACL 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ICLR 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024