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Workshop
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Variational Inference for Interacting Particle Systems with Discrete Latent States
Giosue Migliorini · Padhraic Smyth
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Workshop
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How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren · Haoxuan Chen · Grant Rotskoff · Lexing Ying
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Workshop
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Sun 11:20
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A Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
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Poster
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Fri 16:30
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When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven · Bhavya · Yarden As · Florian Dorfler · Andreas Krause
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Poster
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Fri 11:00
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Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
Harley Wiltzer · Marc Bellemare · David Meger · Patrick Shafto · Yash Jhaveri
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Poster
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Wed 16:30
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Online Control with Adversarial Disturbance for Continuous-time Linear Systems
Jingwei Li · Jing Dong · Can Chang · Baoxiang Wang · Jingzhao Zhang
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Poster
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Thu 11:00
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Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu · Ruizhong Qiu · Yuzhong Chen · Huiyuan Chen · Xiran Fan · Menghai Pan · Zhichen Zeng · Mahashweta Das · Hanghang Tong
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Workshop
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Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
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Poster
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Fri 16:30
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A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
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Poster
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Thu 11:00
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An Analysis of Elo Rating Systems via Markov Chains
Sam Olesker-Taylor · Luca Zanetti
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Poster
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Thu 16:30
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Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
Zixiang Chen · Huizhuo Yuan · Yongqian Li · Yiwen Kou · Junkai Zhang · Quanquan Gu
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Affinity Event
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Markov Chain Variance Estimation: A Stochastic Approximation Approach
Shubhada Agrawal · Prashanth L.A. · Siva Theja Maguluri
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