total variation distance

A Distribution Testing Approach to Clustering Distributions COLT 2026 Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion COLT 2026 Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more COLT 2026 Estimating Ising Models in Total Variation Distance COLT 2026 Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity COLT 2026 Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026 Nonparametric Estimation of a Factorizable Density using Diffusion Models JMLR 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Approximating the Total Variation Distance between Gaussians AISTATS 2025 Approximating the total variation distance between spin systems COLT 2025 Computational Explorations of Total Variation Distance ICLR 2025 Convergence of Consistency Model with Multistep Sampling under General Data Assumptions ICML 2025 Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis ICLR 2025 Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel ICLR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR 2025 Low-dimensional adaptation of diffusion models: Convergence in total variation (extended abstract) COLT 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 On the query complexity of sampling from non-log-concave distributions (extended abstract) COLT 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Sharp bounds on aggregate expert error ALT 2025 Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025 Ai-sampler: Adversarial Learning of Markov kernels with involutive maps ICML 2024 Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024 Faster Sampling via Stochastic Gradient Proximal Sampler ICML 2024 Fast parallel sampling under isoperimetry COLT 2024