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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)

Fewer Truncations Improve Language Modeling ICML 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024 f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ICLR 2024 FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping EMNLP 2024 FFSTC: Fongbe to French Speech Translation Corpus COLING 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NeurIPS 2024 Fiber Monte Carlo ICLR 2024 FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation NeurIPS 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024 Filtered Direct Preference Optimization EMNLP 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NeurIPS 2024 Finding Adversarial Inputs for Heuristics using Multi-level Optimization NSDI 2024 Finding good policies in average-reward Markov Decision Processes without prior knowledge NeurIPS 2024 Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning CVPR 2024 Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages NAACL 2024 FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN ACL 2024 Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024 Finding Super-spreaders in Network Cascades COLT 2024 Finding Visual Saliency in Continuous Spike Stream AAAI 2024 Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NeurIPS 2024 Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization IJCAI 2024 Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NeurIPS 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024