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)

YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment ACL 2025 YNU-HPCC at SemEval-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on DeBERTa SemEval 2025 YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization SemEval 2025 YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SemEval 2025 Your Model is Overconfident, and Other Lies We Tell Ourselves ACL 2025 Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding ACL 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 Z1: Efficient Test-time Scaling with Code EMNLP 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization EMNLP 2025 Zero-cost Proxy for Adversarial Robustness Evaluation ICLR 2025 ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025 Zero-Inflated Bandits ICML 2025 Zero-shot forecasting of chaotic systems ICLR 2025 Zero-shot Model-based Reinforcement Learning using Large Language Models ICLR 2025 Zero-Shot Offline Imitation Learning via Optimal Transport ICML 2025 Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity ICLR 2025 Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025 Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference ICLR 2025 ZETA: Leveraging Z-order Curves for Efficient Top-k Attention ICLR 2025 Zipf’s and Heaps’ Laws for Tokens and LLM-generated Texts EMNLP 2025 ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning CoRL 2025 Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025 𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation ACL 2025