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Workshop
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A theoretical study of the (L0,L1)-smoothness condition in deep learning
Y Cooper
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Workshop
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Communication-efficient Algorithms Under Generalized Smoothness Assumptions
Sarit Khirirat · Abdurakhmon Sadiev · Artem Riabinin · Eduard Gorbunov · Peter Richtarik
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Workshop
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Rethinking Randomized Smoothing from the Perspective of Scalability
Sukrit Jindal · Devansh Bhardwaj · Anupriya Kumari
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Workshop
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Robust one-shot spectroscopic multi-component gas mixture detection via randomized smoothing
Mohamed Sy · Emad Al Ibrahim · Aamir Farooq
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Workshop
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Glocal Smoothness: Line Search can really help!
Curtis Fox · Mark Schmidt
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Workshop
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Breaking Smoothness: The Struggles of Neural Compressors with Discontinuous Mappings
Ezgi Ozyilkan · Sourbh Bhadane · Aaron Wagner · Elza Erkip
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Poster
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Fri 11:00
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Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Otmane Sakhi · Imad Aouali · Pierre Alquier · Nicolas Chopin
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Workshop
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Smoothed Embeddings for Robust Language Models
Ryo Hase · Rafi Rashid · Ashley Lewis · Jing Liu · Toshiaki Koike-Akino · Kieran Parsons · Ye Wang
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Poster
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Wed 11:00
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Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
GENKI OSADA · Makoto Shing · Takashi Nishide
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Poster
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Fri 16:30
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SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
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Poster
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Fri 16:30
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Smoothed Online Classification can be Harder than Batch Classification
Vinod Raman · Unique Subedi · Ambuj Tewari
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