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126 Results
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Workshop
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Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu · Andrew Lowy · Toshiaki Koike-Akino · Kieran Parsons · Ye Wang |
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Cascade Reward Sampling for Efficient Decoding-Time Alignment Bolian Li · Yifan Wang · Ananth Grama · Ruqi Zhang |
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Accelerating Best-of-N via Speculative Rejection Ruiqi Zhang · Momin Haider · Ming Yin · Jiahao Qiu · Mengdi Wang · Peter Bartlett · Andrea Zanette |
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ImportanceWeighted Multi-Draft Speculative Sampling Ashish Khisti · Arash Behravesh · Hassan Dbouk · Arash Behboodi · Roland Memisevic · Christos Louizos |
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A Practical Diffusion Path for Sampling L'Emir Omar Chehab · Anna Korba |
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Robust Best-of-Both-Worlds Gap Estimators Based on Importance-Weighted Sampling Sarah Clusiau · Saeed Masoudian · Yevgeny Seldin |
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Finite Sample Identification: From Frequency to Time Domain Anastasios Tsiamis · Mohamed Abdalmoaty · Roy Smith · John Lygeros |
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Optimistic Information Directed Sampling Gergely Neu · Matteo Papini · Ludovic Schwartz |
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MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets Dominic Phillips · Flaviu Cipcigan |
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Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion · Anna Korba · Peter Bartlett · Mathieu Blondel · Valentin De Bortoli · Arnaud Doucet · Felipe Llinares-Lopez · Courtney Paquette · Quentin Berthet |
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Theoretical Analyses of Hyperparameter Selection in Graph-Based Semi-Supervised Learning Ally Yalei Du · Eric Huang · Dravyansh Sharma |
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Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal · Gabriele Cesa |