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
›
Learning Theory
5312 directly classified papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Understanding Visual Feature Reliance through the Lens of Complexity
NIPS 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
AAAI 2024
Testing Semantic Importance via Betting
NIPS 2024
Simplicity Bias in Overparameterized Machine Learning
AAAI 2024
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
NIPS 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
NIPS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
NIPS 2024
Can Transformers Learn n-gram Language Models?
EMNLP 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
NIPS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
NIPS 2024
Debiasing Evaluations That Are Biased by Evaluations
JMLR 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NIPS 2024
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs
AAAI 2024
The Limits of Differential Privacy in Online Learning
NIPS 2024
A two-scale Complexity Measure for Deep Learning Models
NIPS 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
AAAI 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
NIPS 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
AAAI 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
NIPS 2024
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
AAAI 2024
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
NIPS 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NIPS 2024
Fast Rates for Bandit PAC Multiclass Classification
NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified
NIPS 2024
<
1
…
26
27
28
…
213
>