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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)

Automatic Engineering of Long Prompts ACL 2024 Automatic Functional Differentiation in JAX ICLR 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft CVPR 2024 AutoMix: Automatically Mixing Language Models NeurIPS 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024 Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery AAAI 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Autoregressive Bandits AISTATS 2024 Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices NSDI 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 Average gradient outer product as a mechanism for deep neural collapse NeurIPS 2024 Averaging n-step Returns Reduces Variance in Reinforcement Learning ICML 2024 Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments NeurIPS 2024 A World CLASSE Student Summary Corpus NAACL 2024 BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack NeurIPS 2024 BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency CoNLL 2024 Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency ICLR 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NeurIPS 2024 Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 Back to the Continuous Attractor NeurIPS 2024 Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods EMNLP 2024