Co-occurring keywords · papers mentioning both
Papers
Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
AAAI 2026
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
AAAI 2026
On the Expected Size of Conformal Prediction Sets
AISTATS 2024
Statistical Efficiency of Distributional Temporal Difference Learning
NeurIPS 2024
A finite-sample analysis of multi-step temporal difference estimates
L4DC 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
ICML 2023
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
AISTATS 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
JMLR 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
ICML 2022
Truncated Emphatic Temporal Difference Methods for Prediction and Control
JMLR 2022
Consistency and Finite Sample Behavior of Binary Class Probability Estimation
AAAI 2021
Exact Asymptotics for Linear Quadratic Adaptive Control
JMLR 2021
Finite Sample Analysis of Average-Reward TD Learning and Q-Learning
NeurIPS 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
ICML 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
NeurIPS 2021
On Learning Continuous Pairwise Markov Random Fields
AISTATS 2021
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
NeurIPS 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
UAI 2020
Minimax Classification with 0-1 Loss and Performance Guarantees
NeurIPS 2020
Classification using margin pursuit
AISTATS 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation
NeurIPS 2019
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
NeurIPS 2019
Reinforcement Learning in Configurable Continuous Environments
ICML 2019
Target-Based Temporal-Difference Learning
ICML 2019
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
IJCAI 2018