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Works (28)

Adaptive Draft-Verification for Efficient Large Language Model Decoding

arXiv preprint arXiv:2407.12021
2024 | Journal article
Contributors: Liu, Xukun; Lei, Bowen; Zhang, Ruqi; Xu, Dongkuan
Source: Self-asserted source
Ruqi Zhang

Adaptive Planning with Generative Models under Uncertainty

International Conference on Intelligent Robots and Systems
2024 | Journal article
Contributors: Jutras-Dubé, Pascal; Zhang, Ruqi; Bera, Aniket
Source: Self-asserted source
Ruqi Zhang

Balance is essence: Accelerating sparse training via adaptive gradient correction

Conference on Parsimony and Learning
2024 | Conference paper
Contributors: Lei, Bowen; Xu, Dongkuan; Zhang, Ruqi; He, Shuren; Mallick, Bani
Source: Self-asserted source
Ruqi Zhang

Cascade Reward Sampling for Efficient Decoding-Time Alignment

arXiv preprint arXiv:2406.16306
2024 | Journal article
Contributors: Li, Bolian; Wang, Yifan; Grama, Ananth; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Discs: A benchmark for discrete sampling

Advances in Neural Information Processing Systems
2024 | Journal article
Contributors: Goshvadi, Katayoon; Sun, Haoran; Liu, Xingchao; Nova, Azade; Zhang, Ruqi; Grathwohl, Will; Schuurmans, Dale; Dai, Hanjun
Source: Self-asserted source
Ruqi Zhang

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion

arXiv preprint arXiv:2409.16950
2024 | Journal article
Contributors: Punyamoorty, Vineet; Jutras-Dubé, Pascal; Zhang, Ruqi; Aggarwal, Vaneet; Conover, Damon; Bera, Aniket
Source: Self-asserted source
Ruqi Zhang

Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World

Transactions on Machine Learning Research
2024 | Journal article
Contributors: Lei, Bowen; Xu, Dongkuan; Zhang, Ruqi; Mallick, Bani
Source: Self-asserted source
Ruqi Zhang

Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo

Transactions on Machine Learning Research
2024 | Journal article
Contributors: Wang, Ziyi; Chen, Yujie; Song, Qifan; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Entropy-MCMC: Sampling from Flat Basins with Ease

International Conference on Learning Representations
2024 | Conference paper
Contributors: Li, Bolian; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

arXiv preprint arXiv:2410.06625
2024 | Journal article
Contributors: Ding, Yi; Li, Bolian; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

Neural Information Processing Systems, 2024
2024 | Conference paper
Contributors: Pynadath, Patrick; Bhattacharya, Riddhiman; Hariharan, Arun; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Forty-first International Conference on Machine Learning
2024 | Conference paper
Contributors: Papamarkou, Theodore; Skoularidou, Maria; Palla, Konstantina; Aitchison, Laurence; Arbel, Julyan; Dunson, David; Filippone, Maurizio; Fortuin, Vincent; Hennig, Philipp; Hernández-Lobato, José Miguel et al.
Source: Self-asserted source
Ruqi Zhang

Training Bayesian Neural Networks with Sparse Subspace Variational Inference

International Conference on Learning Representations
2024 | Conference paper
Contributors: Li, Junbo; Miao, Zichen; Qiu, Qiang; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

The AAAI/ACM Conference on AI, Ethics, and Society
2023 | Journal article
Contributors: Islam, Tunazzina; Zhang, Ruqi; Goldwasser, Dan
Source: Self-asserted source
Ruqi Zhang

Calibrating the Rigged Lottery: Making All Tickets Reliable

International Conference on Learning Representations
2023 | Journal article
Contributors: Lei, Bowen; Zhang, Ruqi; Xu, Dongkuan; Mallick, Bani
Source: Self-asserted source
Ruqi Zhang

DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference

International Conference on Machine Learning
2023 | Journal article
Contributors: Zhang, Wanrong; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation

International Conference on Artificial Intelligence and Statistics
2023 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Long-tailed Classification from a Bayesian-decision-theory Perspective

Symposium on Advances in Approximate Bayesian Inference
2023 | Journal article
Contributors: Li, Bolian; Zhang, Ruqi
Source: Self-asserted source
Ruqi Zhang

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

2023-08-08 | Conference paper
DOI: 10.1145/3600211.3604665
Contributors: Tunazzina Islam; Ruqi Zhang; Dan Goldwasser
Source: check_circle
Crossref

A Langevin-like sampler for discrete distributions

International Conference on Machine Learning
2022 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Low-Precision Stochastic Gradient Langevin Dynamics

International Conference on Machine Learning
2022 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent

Advances in Neural Information Processing Systems
2022 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Meta-learning divergences for variational inference

International Conference on Artificial Intelligence and Statistics
2021 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

AMAGOLD: Amortized Metropolis adjustment for efficient stochastic gradient MCMC

International Conference on Artificial Intelligence and Statistics
2020 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Asymptotically optimal exact minibatch metropolis-hastings

Advances in Neural Information Processing Systems
2020 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Cyclical stochastic gradient MCMC for Bayesian deep learning

International Conference on Learning Representations
2020 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Poisson-minibatching for gibbs sampling with convergence rate guarantees

Advances in Neural Information Processing Systems
2019 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang

Large Scale Sparse Clustering

International Joint Conference on Artificial Intelligence
2016 | Conference paper
Contributors: Ruqi Zhang
Source: Self-asserted source
Ruqi Zhang
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