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← Optimization & Theory
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Optimization & Theory
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Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond
AAAI 2026
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
AAAI 2026
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
AAAI 2026
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
AAAI 2026
Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations
AAAI 2026
Continuum Dropout for Neural Differential Equations
AAAI 2026
Maximizing Schatten-p Norm Regularization Toward Balance
AAAI 2026
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
AAAI 2026
Incremental Maintenance of DatalogMTL Materialisations
AAAI 2026
Constrained Online Convex Optimization with Memory and Predictions
AAAI 2026
InfoQ: Mixed-Precision Quantization via Global Information Flow
AAAI 2026
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
AAAI 2026
PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning
AAAI 2026
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
AAAI 2026
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
AAAI 2026
G-IR: Geometric Image Representation for Learning
AAAI 2026
Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching
AAAI 2026
Towards Robust Edge Model Adaptation via Elastic Architecture Search
AAAI 2026
Statistically Robust Sparse High-order Interaction Model
AAAI 2026
Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond
AAAI 2026
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference
AAAI 2026
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
AAAI 2026
Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes
AAAI 2026
MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
AAAI 2026
WIET: Harmonizing Group-aware Model Weighting and Worker Allocation for Ensemble Temporal Prediction MaaS
AAAI 2026
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