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← Optimization & Theory
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
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2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
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2026: 128
Papers
CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow
WACV 2026
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
EACL 2026
TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models
EACL 2026
Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random Walks
EACL 2026
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden’s J statistic
EACL 2026
Evaluating Text-to-Image and Text-to-Video Synthesis with a Conditional Frechet Distance
WACV 2026
DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models
WACV 2026
Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation
EACL 2026
SymPyBench: A Dynamic Benchmark for Scientific Reasoning with Executable Python Code
EACL 2026
BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities
WACV 2026
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
EACL 2026
Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients
WACV 2026
One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection
WACV 2026
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects
WACV 2026
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair
WACV 2026
A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models
EACL 2026
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
WACV 2026
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
EACL 2026
Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective
AAAI 2026
Formal Verification of Neural ODE for Safety Evaluation in Autonomous Vehicles
AAAI 2026
On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation
AAAI 2026
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint)
AAAI 2026
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
AAAI 2026
Causal Explanations for Sequential Decision Making (Abstract Reprint)
AAAI 2026
Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint)
AAAI 2026
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