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Workshop
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RIFLE: Imputation and Robust Inference from Low Order Marginals
Sina Baharlouei · Kelechi Ogudu · Peng Dai · Sze-Chuan Suen · Meisam Razaviyayn
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Poster
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Thu 13:30
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DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
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Poster
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Tue 17:00
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Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Khai Nguyen · Dang Nguyen · Nhat Ho
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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri · Chengyin Li · RAFI IBN SULTAN · Yao Qiang · Joerg Kliewer · Dongxiao Zhu
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Workshop
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Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz
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Poster
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Tue 14:00
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Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko · Shunta Akiyama · Taiji Suzuki
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Oral
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Tue 21:10
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Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko · Shunta Akiyama · Taiji Suzuki
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Workshop
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Learning with Primal-Dual Spectral Risk Measures: a Fast Incremental Algorithm
Ronak Mehta · Vincent Roulet · Krishna Pillutla · Zaid Harchaoui
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Affinity Workshop
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Mon 19:15
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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Poster
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Wed 17:00
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Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
Sanae Amani · Tor Lattimore · Andras Gyorgy · Lin Yang
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Poster
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Tue 14:00
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A Distribution Optimization Framework for Confidence Bounds of Risk Measures
Hao Liang · Zhi-Quan Luo
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Poster
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Tue 14:00
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Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna · Mohamad Assaad
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