Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
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
Are Emergent Abilities of Large Language Models a Mirage?
NIPS 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
NIPS 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
NIPS 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
NIPS 2023
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NIPS 2023
Online PCA in Converging Self-consistent Field Equations
NIPS 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
NIPS 2023
Convergence of Actor-Critic with Multi-Layer Neural Networks
NIPS 2023
Solving Explainability Queries with Quantification: The Case of Feature Relevancy
AAAI 2023
Fully-Dynamic Decision Trees
AAAI 2023
Robust Neuro-Symbolic Goal and Plan Recognition
AAAI 2023
On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm
AAAI 2023
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds
AAAI 2023
Evaluating and Improving Interactions with Hazy Oracles
AAAI 2023
Formalising the Robustness of Counterfactual Explanations for Neural Networks
AAAI 2023
Neural Policy Safety Verification via Predicate Abstraction: CEGAR
AAAI 2023
Reactive Synthesis of Dominant Strategies
AAAI 2023
Complexity of Reasoning with Cardinality Minimality Conditions
AAAI 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning
AAAI 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms
AAAI 2023
Online Reinforcement Learning with Uncertain Episode Lengths
AAAI 2023
Automata Cascades: Expressivity and Sample Complexity
AAAI 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
AAAI 2023
Structurally Restricted Fragments of Numeric Planning – a Complexity Analysis
AAAI 2023
Feature Interactions Reveal Linguistic Structure in Language Models
ACL 2023
<
1
…
60
61
62
…
198
>