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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning ICCV 2025 Calm Composite Losses: Being Improper Yet Proper Composite AISTATS 2025 CAM-Based Methods Can See through Walls (Extended Abstract) IJCAI 2025 Camera Resection from Known Line Pencils and a Radially Distorted Scanline CVPR 2025 CAMEx: Curvature-aware Merging of Experts ICLR 2025 CAMIEval: Enhancing NLG Evaluation through Multidimensional Comparative Instruction-Following Analysis NAACL 2025 CanFields: Consolidating Diffeomorphic Flows for Non-Rigid 4D Interpolation from Arbitrary-Length Sequences ICCV 2025 Can In-context Learning Really Generalize to Out-of-distribution Tasks? ICLR 2025 Can information theory unravel the subtext in a Chekhovian short story? ACL 2025 Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? AAAI 2025 Can Large Language Models Win the International Mathematical Games? EMNLP 2025 Can LLMs Clarify? Investigation and Enhancement of Large Language Models on Argument Claim Optimization COLING 2025 Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs ACL 2025 Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation AAAI 2025 Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference ACL 2025 Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation EMNLP 2025 Can LLMs Reliably Simulate Real Students’ Abilities in Mathematics and Reading Comprehension? ACL 2025 Can LLMs Solve Longer Math Word Problems Better? ICLR 2025 Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty? COLING 2025 Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model ICLR 2025 Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering EMNLP 2025 Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective ICML 2025