Poster "total variation distance" Papers

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Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis

Zikun Zhang, Zixiang Chen, Quanquan Gu

ICLR 2025arXiv:2410.02321
14
citations

LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding

Doohyuk Jang, Sihwan Park, June Yong Yang et al.

ICLR 2025arXiv:2410.03355
30
citations

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.

NEURIPS 2025arXiv:2506.01162

Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions

Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou

NEURIPS 2025arXiv:2505.15059
2
citations

Ai-sampler: Adversarial Learning of Markov kernels with involutive maps

Evgenii Egorov, Riccardo Valperga, Efstratios Gavves

ICML 2024arXiv:2406.02490
1
citations

Faster Sampling via Stochastic Gradient Proximal Sampler

Xunpeng Huang, Difan Zou, Hanze Dong et al.

ICML 2024arXiv:2405.16734
3
citations

Total Variation Distance Meets Probabilistic Inference

Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel et al.

ICML 2024arXiv:2309.09134
8
citations

Towards Theoretical Understandings of Self-Consuming Generative Models

Shi Fu, Sen Zhang, Yingjie Wang et al.

ICML 2024arXiv:2402.11778
22
citations