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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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Papers (including subtopics)

MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data WACV 2026 Model Agreement via Anchoring COLT 2026 Model Counting for Dependency Quantified Boolean Formulas AAAI 2026 Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026 Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026 Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026 Model Whisper: Steering Vectors Unlock Large Language Models’ Potential in Test-Time AAAI 2026 MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026 MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts AAAI 2026 Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026 MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency WACV 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models AAAI 2026 MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation AAAI 2026 MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework AAAI 2026 MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization AAAI 2026 MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection AAAI 2026 MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026 Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets AAAI 2026 Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026 Multi-Metric Preference Alignment for Generative Speech Restoration AAAI 2026 Multi-Objective Bilevel Learning AAAI 2026 Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026 Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026 Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation AAAI 2026