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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)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization ICML 2025 Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation RSS 2025 Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents AAAI 2025 Robust Point Matching with Distance Profiles JMLR 2025 Robust Preference Optimization via Dynamic Target Margins ACL 2025 Robust Root Cause Diagnosis using In-Distribution Interventions ICLR 2025 Robust Score Matching AISTATS 2025 Robust Simulation-Based Inference under Missing Data via Neural Processes ICLR 2025 Robust Sparsification via Sensitivity ICML 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025 Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis ICLR 2025 RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025 Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions ICLR 2025 Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level ACL 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems ICML 2025 RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization ACL 2025 Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning NAACL 2025 RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025 ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 Round and Round We Go! What makes Rotary Positional Encodings useful? ICLR 2025 RouteLLM: Learning to Route LLMs from Preference Data ICLR 2025 RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs EMNLP 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025