kl divergence

Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024 Multi-stream Information Fusion Framework for Emotional Support Conversation COLING 2024 Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization ICLR 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 Position: Understanding LLMs Requires More Than Statistical Generalization ICML 2024 Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo ICML 2024 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NeurIPS 2024 Revisit the Essence of Distilling Knowledge through Calibration ICML 2024 Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 Statistical Inference Under Constrained Selection Bias ICML 2024 Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024 TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024 TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors ICML 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 Token-level Direct Preference Optimization ICML 2024 Universal Sample Coding NeurIPS 2024 VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models EMNLP 2024 A Coupled Flow Approach to Imitation Learning ICML 2023 Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023