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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Learning Theory
5,312 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
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
NIPS 2022
Online Allocation and Learning in the Presence of Strategic Agents
NIPS 2022
Adversarial Robustness is at Odds with Lazy Training
NIPS 2022
Exact learning dynamics of deep linear networks with prior knowledge
NIPS 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
NIPS 2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
NIPS 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
NIPS 2022
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
NIPS 2022
Trading Off Resource Budgets For Improved Regret Bounds
NIPS 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
NIPS 2022
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
NIPS 2022
Parameter-free Regret in High Probability with Heavy Tails
NIPS 2022
The Sample Complexity of One-Hidden-Layer Neural Networks
NIPS 2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
NIPS 2022
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
NIPS 2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
NIPS 2022
Learning sparse features can lead to overfitting in neural networks
NIPS 2022
On Margins and Generalisation for Voting Classifiers
NIPS 2022
Learning single-index models with shallow neural networks
NIPS 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
NIPS 2022
On Measuring Excess Capacity in Neural Networks
NIPS 2022
On Leave-One-Out Conditional Mutual Information For Generalization
NIPS 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
NIPS 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
NIPS 2022
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