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Learning Theory

5312 directly classified papers

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Papers

Resolving Predictive Multiplicity for the Rashomon Set AAAI 2026
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning AAAI 2026
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities AAAI 2026
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection AAAI 2026
Optimization and Robustness-Informed Membership Inference Attacks for LLMs AAAI 2026
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation AAAI 2026
VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains AAAI 2026
Are Language Models Any Good at Density Modeling? AAAI 2026
Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026
Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026
Rademacher Complexity for Distributionally Robust Learning AAAI 2026
TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection AAAI 2026
Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026
Error Slice Discovery via Manifold Compactness AAAI 2026
Logical Characterizations of GNNs with Mean Aggregation AAAI 2026
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026
A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction AAAI 2026
Scaling Law for Large Wireless Models AAAI 2026
Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026
High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026
Statistical Learning Theory for Distributional Classification AAAI 2026
Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding AAAI 2026