Co-occurring keywords · papers mentioning both
Papers
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
WACV 2025
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
ICML 2025
Compact Proofs of Model Performance via Mechanistic Interpretability
NeurIPS 2024
Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
ICML 2024
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
NeurIPS 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions
AAAI 2023
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning
RSS 2022
Bayesian Reinforcement Learning via Deep, Sparse Sampling
AISTATS 2020
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
ICML 2019
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models
COLT 2016
Approximate Policy Iteration Schemes: A Comparison
ICML 2014
DESPOT: Online POMDP Planning with Regularization
NeurIPS 2013
Performance Bounds for λ Policy Iteration and Application to the Game of Tetris
JMLR 2013
Dynamic Policy Programming
JMLR 2012
Action-Gap Phenomenon in Reinforcement Learning
NeurIPS 2011
LSTD with Random Projections
NeurIPS 2010
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
JMLR 2006