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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)

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration NeurIPS 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models Interspeech 2024 SpeechAlign: Aligning Speech Generation to Human Preferences NeurIPS 2024 Speech dereverberation constrained on room impulse response characteristics Interspeech 2024 Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions Interspeech 2024 SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back NAACL 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NeurIPS 2024 Spike Distance Function as a Learning Objective for Spike Prediction ICML 2024 Spiking Denoising Diffusion Probabilistic Models WACV 2024 Spiking Transformer with Experts Mixture NeurIPS 2024 SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024 Split Conformal Prediction and Non-Exchangeable Data JMLR 2024 SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation ACL 2024 SPO: Sequential Monte Carlo Policy Optimisation NeurIPS 2024 SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NeurIPS 2024 Sprout: Green Generative AI with Carbon-Efficient LLM Inference EMNLP 2024 Spurious Feature Diversification Improves Out-of-distribution Generalization ICLR 2024 SquirrelFS: using the Rust compiler to check file-system crash consistency OSDI 2024 SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework EMNLP 2024 S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NeurIPS 2024 ST$_k$: A Scalable Module for Solving Top-k Problems NeurIPS 2024 Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024