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Poster
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Tue 17:00
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Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
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Workshop
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Sat 12:00
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Duality Principles for Modern Machine Learning
Thomas Moellenhoff · Zelda Mariet · Mathieu Blondel · Khan Emtiyaz
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Poster
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Thu 16:30
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Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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Poster
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Tue 17:00
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Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
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Poster
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Wed 17:00
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Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
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Poster
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Thu 16:30
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Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
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Poster
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Wed 17:00
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Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Alicia Curth · Alihan Hüyük · Mihaela van der Schaar
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Oral
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Wed 20:12
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Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
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Workshop
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Cosmological Data Compression and Inference with Self-Supervised Machine Learning
Aizhan Akhmetzhanova · Siddharth Mishra-Sharma · Cora Dvorkin
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Workshop
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Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk
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