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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Consistent Hierarchical Classification with A Generalized Metric
AISTATS 2024
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
AAAI 2024
Meta-Evaluation of Sentence Simplification Metrics
COLING 2024
Faster Recalibration of an Online Predictor via Approachability
AISTATS 2024
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint)
AAAI 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
ACL 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
EMNLP 2024
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
AAAI 2024
BlockBoost: Scalable and Efficient Blocking through Boosting
AISTATS 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
AAAI 2024
It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
ACL 2024
On the Expected Size of Conformal Prediction Sets
AISTATS 2024
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
COLT 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning
AAAI 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
ACL 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
AISTATS 2024
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
AAAI 2024
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions
COLT 2024
Minimax Linear Regression under the Quantile Risk
COLT 2024
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
AAAI 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
AAAI 2024
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
AAAI 2024
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
ACL 2024
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