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)

Multi-Pass Memory Lower Bounds for Learning Problems COLT 2025 Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025 Multiple Mean-Payoff Optimization Under Local Stability Constraints AAAI 2025 Multiple-policy Evaluation via Density Estimation ICML 2025 Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025 Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization UAI 2025 MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts EMNLP 2025 Multirate Neural Image Compression with Adaptive Lattice Vector Quantization CVPR 2025 Multi-Reference Preference Optimization for Large Language Models AAAI 2025 Multi-Session Budget Optimization for Forward Auction-based Federated Learning ICML 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 Multi-Surrogate-Objective Optimization for Neural Topic Models EMNLP 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 Multi-View 3D Human Pose Estimation with Weakly Synchronized Images AAAI 2025 MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy ICLR 2025 Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning NSDI 2025 MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs ACL 2025 Mutual-Taught for Co-adapting Policy and Reward Models ACL 2025 MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025 MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025 NADER: Neural Architecture Design via Multi-Agent Collaboration CVPR 2025 NAIST Simultaneous Speech Translation System for IWSLT 2025 ACL 2025 Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization AISTATS 2025 Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization ICML 2025 Navigating Conflicting Views: Harnessing Trust for Learning ICML 2025