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Workshop
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Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
Tiejin Chen · Kaishen Wang · Hua Wei
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Workshop
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Unlearning in- vs. out-of-distribution data in LLMs under gradient-based methods
Teodora Baluta · Gintare Karolina Dziugaite · Pascal Lamblin · Fabian Pedregosa · Danny Tarlow
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Workshop
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Sun 9:30
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Talk 1: *On the Inherent Privacy of Two Point Zeroth Order Projected Gradient Descent* and Talk 2: *The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization*
Devansh Gupta · Matan Schliserman
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Poster
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Fri 11:00
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Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan · Mohamed Elsayed · Seyed Alireza Azimi · Jiamin He · Fahim Shahriar · Colin Bellinger · Martha White · Rupam Mahmood
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Poster
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Fri 11:00
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An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
Shengbo Wang · Jose Blanchet · Peter W Glynn
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Workshop
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Sat 11:00
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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Workshop
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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Poster
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Thu 11:00
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Towards Exact Gradient-based Training on Analog In-memory Computing
Zhaoxian Wu · Tayfun Gokmen · Malte Rasch · Tianyi Chen
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Poster
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Thu 11:00
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LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
Xiaoyuan Zhang · Liang ZHAO · Yingying Yu · Xi Lin · Yifan Chen · Han Zhao · Qingfu Zhang
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Poster
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Fri 16:30
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Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
Quoc Tran Dinh · Trang H. Tran · Lam Nguyen
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Workshop
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Consensus Based Optimization Accelerates Gradient Descent
Anagha Satish · Ricardo Baptista · Franca Hoffmann
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Workshop
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Smoothing-Based Adversarial Defense Methods for Inverse Problems
Yang Sun · Jonathan Scarlett
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