kullback-leibler divergence

Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning AAAI 2026 Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning ACL 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees COLT 2026 KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems CVPR 2026 Modeling Linguistic Imprints of War Propaganda in a Russian Wikipedia Fork: A Comparative Analysis with the Original Wikipedia EACL 2026 Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026 Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching AAAI 2026 Streamlined Knowledge Distillation CVPR 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 An Encoder-Agnostic Weakly Supervised Method for Describing Textures WACV 2025 Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics ICML 2025 Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025 Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis ICLR 2025 Decomposed Distribution Matching in Dataset Condensation WACV 2025 Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning ICLR 2025 DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025 Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction ICML 2025 Information Theory and Linguistic Variation: A Study of Brazilian and European Portuguese COLING 2025 Learning Mixtures of Experts with EM: A Mirror Descent Perspective ICML 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 Mapping 1,000+ Language Models via the Log-Likelihood Vector ACL 2025 NETS: A Non-equilibrium Transport Sampler ICML 2025 Noisy Computing of the Threshold Function ALT 2025