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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
A Theoretical Framework for Inference Learning
NIPS 2022
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
NIPS 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
NIPS 2022
Instance-optimal PAC Algorithms for Contextual Bandits
NIPS 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods
NIPS 2022
Vision Transformers provably learn spatial structure
NIPS 2022
PAC Prediction Sets for Meta-Learning
NIPS 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
NIPS 2022
What is a Good Metric to Study Generalization of Minimax Learners?
NIPS 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
NIPS 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
NIPS 2022
Near-Optimal No-Regret Learning Dynamics for General Convex Games
NIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AUTOML 2022
BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation
CORL 2022
Learning Multi-Objective Curricula for Robotic Policy Learning
CORL 2022
Verified Path Following Using Neural Control Lyapunov Functions
CORL 2022
PMAL: Open Set Recognition via Robust Prototype Mining
AAAI 2022
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
AAAI 2022
TAG: Learning Timed Automata from Logs
AAAI 2022
The Complexity of Learning Approval-Based Multiwinner Voting Rules
AAAI 2022
On the Complexity of Inductively Learning Guarded Clauses
AAAI 2022
A Fast Algorithm for PAC Combinatorial Pure Exploration
AAAI 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model
AAAI 2022
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