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
Linear Regularizers Enforce the Strict Saddle Property
AAAI 2023
Training-Time Attacks against K-nearest Neighbors
AAAI 2023
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses
AAAI 2023
Testing the Channels of Convolutional Neural Networks
AAAI 2023
Persistent Homology through Image Segmentation (Student Abstract)
AAAI 2023
When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure
AAAI 2023
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
AAAI 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions
AAAI 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning
AAAI 2023
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
AAAI 2023
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
AAAI 2023
Synchronization and Diversity of Solutions
AAAI 2023
Markov Decision Processes with Time-Varying Geometric Discounting
AAAI 2023
Formally Verified Solution Methods for Markov Decision Processes
AAAI 2023
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
AAAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI 2023
SigMaNet: One Laplacian to Rule Them All
AAAI 2023
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings
AAAI 2023
Are Transformers Effective for Time Series Forecasting?
AAAI 2023
Editing Boolean Classifiers: A Belief Change Perspective
AAAI 2023
Provable Detection of Propagating Sampling Bias in Prediction Models
AAAI 2023
Complexity of Safety and coSafety Fragments of Linear Temporal Logic
AAAI 2023
Common Knowledge of Abstract Groups
AAAI 2023
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
AAAI 2023
<
1
…
53
54
55
…
198
>