conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Optimization & Theory
Machine Learning
›
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
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
COLT 2023
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
ALT 2023
Nearly Optimal Bounds for Cyclic Forgetting
NIPS 2023
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
UAI 2023
The Quantization Model of Neural Scaling
NIPS 2023
Tight Risk Bounds for Gradient Descent on Separable Data
NIPS 2023
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
EMNLP 2023
Tracking Most Significant Shifts in Nonparametric Contextual Bandits
NIPS 2023
On Testing and Learning Quantum Junta Channels
COLT 2023
A General Regret Bound of Preconditioned Gradient Method for DNN Training
CVPR 2023
On Learning Latent Models with Multi-Instance Weak Supervision
NIPS 2023
Find a witness or shatter: the landscape of computable PAC learning.
COLT 2023
Dynamic Regret of Adversarial Linear Mixture MDPs
NIPS 2023
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
NIPS 2023
Testing of Index-Invariant Properties in the Huge Object Model
COLT 2023
Loss Dynamics of Temporal Difference Reinforcement Learning
NIPS 2023
No-Regret Linear Bandits beyond Realizability
UAI 2023
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance
NIPS 2023
CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
RSS 2023
When Can We Track Significant Preference Shifts in Dueling Bandits?
NIPS 2023
Ordering-based Conditions for Global Convergence of Policy Gradient Methods
NIPS 2023
Online Learning and Solving Infinite Games with an ERM Oracle
COLT 2023
Gradient-Based Feature Learning under Structured Data
NIPS 2023
Taylor TD-learning
NIPS 2023
Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling
COLT 2023
<
1
…
73
74
75
…
213
>