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Poster
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Fri 11:00
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Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath · Riddhiman Bhattacharya · ARUN HARIHARAN · Ruqi Zhang
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Workshop
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Between the Bars: Gradient-based Jailbreaks are Bugs that induce Features
Kaivalya Hariharan · Uzay Girit
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Poster
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Wed 11:00
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Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Zhehao Huang · Xinwen Cheng · JingHao Zheng · Haoran Wang · Zhengbao He · Tao Li · Xiaolin Huang
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Workshop
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Between the Bars: Gradient-based Jailbreaks are Bugs that induce Features
Kaivalya Hariharan · Uzay Girit
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Workshop
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AdjointDEIS: Efficient Gradients for Diffusion Models
Zander W. Blasingame · Chen Liu
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Poster
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Fri 16:30
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Functional Gradient Flows for Constrained Sampling
Shiyue Zhang · Longlin Yu · Ziheng Cheng · Cheng Zhang
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Workshop
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The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
Matan Schliserman · Uri Sherman · Tomer Koren
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Poster
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Wed 11:00
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Adaptive Proximal Gradient Method for Convex Optimization
Yura Malitsky · Konstantin Mishchenko
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Poster
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Thu 16:30
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Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin · Ahmed Khaled · Yuanhao Wang · Aaron Defazio · Robert Gower
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Poster
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Fri 11:00
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An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
Jincheng Cao · Ruichen Jiang · Erfan Yazdandoost Hamedani · Aryan Mokhtari
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Poster
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Wed 11:00
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Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
Tong Yang · Shicong Cen · Yuting Wei · Yuxin Chen · Yuejie Chi
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Poster
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Wed 16:30
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Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
Audrey Huang · Nan Jiang
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