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Workshop
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Computation-Aware Robust Gaussian Processes
Marshal Sinaga · Julien Martinelli · Samuel Kaski
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Poster
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Wed 16:30
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Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett · Nathan Kallus · Miruna Oprescu · Wen Sun · Kaiwen Wang
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Workshop
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Shh, don't say that! Domain Certification in LLMs
Cornelius Emde · Preetham Arvind · Alasdair Paren · Maxime Kayser · Thomas Rainforth · Thomas Lukasiewicz · Philip Torr · Adel Bibi
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Workshop
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HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
Theo King · Zekun Wu · Adriano Koshiyama · Emre Kazim · Philip Treleaven
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Workshop
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Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li
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Workshop
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Sat 11:10
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Contributed Talk: Taiwo Adebiyi - Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi
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Poster
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Fri 11:00
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Robust Gaussian Processes via Relevance Pursuit
Sebastian Ament · Elizabeth Santorella · David Eriksson · Ben Letham · Maximilian Balandat · Eytan Bakshy
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Workshop
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Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis
Changmin Yu · Mate Lengyel
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Workshop
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Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Rafi Rashid · Jing Liu · Toshiaki Koike-Akino · Shagufta Mehnaz · Ye Wang
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Workshop
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Sat 11:00
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Contributed Talk: Mathieu Alain - Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain
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Workshop
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Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi · Bach Do · Ruda Zhang
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