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Poster
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Wed 14:00
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Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Haanvid Lee · Jongmin Lee · Yunseon Choi · Wonseok Jeon · Byung-Jun Lee · Yung-Kyun Noh · Kee-Eung Kim
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Poster
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Wed 9:00
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Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Tao Liu · P. R. Kumar · Ruida Zhou · Xi Liu
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Workshop
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Machine learning emulation of a local-scale UK climate model
Henry Addison · Elizabeth Kendon · Suman Ravuri · Peter Watson · Laurence Aitchison
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Poster
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Tue 14:00
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Local-Global MCMC kernels: the best of both worlds
Sergey Samsonov · Evgeny Lagutin · Marylou Gabrié · Alain Durmus · Alexey Naumov · Eric Moulines
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Poster
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Wed 14:00
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Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning
Yao-Xiang Ding · Xi-Zhu Wu · Kun Zhou · Zhi-Hua Zhou
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Affinity Workshop
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MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
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Workshop
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández-Lobato
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Poster
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Thu 9:00
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Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
Abdurakhmon Sadiev · Dmitry Kovalev · Peter Richtarik
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Poster
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Tue 14:00
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Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
Salim I. Amoukou · Nicolas Brunel
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Panel
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Tue 10:45
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Panel 1C-8: Local Spatiotemporal Representation… & Learning Latent Seasonal-Trend…
Mengwei Ren · Zhiyuan Wang
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Poster
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Thu 9:00
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Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates
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Poster
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Thu 14:00
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Local Bayesian optimization via maximizing probability of descent
Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett
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