maximum entropy

Measuring Goal-Directedness NeurIPS 2024 Regularization and Optimal Multiclass Learning COLT 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 BC-IRL: Learning Generalizable Reward Functions from Demonstrations ICLR 2023 Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023 Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning NeurIPS 2023 Formalizing Preferences Over Runtime Distributions ICML 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NeurIPS 2023 Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023 Deceptive Decision-Making under Uncertainty AAAI 2022 Differentially Describing Groups of Graphs AAAI 2022 Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning ACML 2022 Generalized rectifier wavelet covariance models for texture synthesis ICLR 2022 MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection ICML 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 Online Inverse Reinforcement Learning with Learned Observation Model CoRL 2022 Self-Supervised Learning via Maximum Entropy Coding NeurIPS 2022 X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning UAI 2022 Distributionally Robust Imitation Learning NeurIPS 2021 Imitation with Neural Density Models NeurIPS 2021 Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach AISTATS 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Reward Identification in Inverse Reinforcement Learning ICML 2021