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Poster
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Tue 14:00
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Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian · Vincent Divol · Jonathan Niles-Weed
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Workshop
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Sat 13:45
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Stefanie Jegelka: Learning discrete optimization: Loss functions and graph neural networks
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Workshop
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Sat 12:00
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Sampling and Optimization in Discrete Space
Haoran Sun · Hanjun Dai · Priyank Jaini · Ruqi Zhang · Ellen Vitercik
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Poster
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Wed 17:00
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Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones · Anca Dragan · Aditi Raghunathan · Jacob Steinhardt
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Workshop
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Fri 16:20
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PAC-Bayes bounds’ parameter optimization via events’ space discretization: new bounds for losses with general tail behaviors
Borja Rodríguez Gálvez · Ragnar Thobaben · Mikael Skoglund
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Workshop
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PAC-Bayes bounds’ parameter optimization via events’ space discretization: new bounds for losses with general tail behaviors
Borja Rodríguez Gálvez · Ragnar Thobaben · Mikael Skoglund
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Workshop
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SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces
Masaki Adachi · Satoshi Hayakawa · Saad Hamid · Martin Jørgensen · Harald Oberhauser · Michael A Osborne
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Workshop
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Optimizing protein fitness using Bi-level Gibbs sampling with Graph-based Smoothing
Andrew Kirjner · Jason Yim · Raman Samusevich · Tommi Jaakkola · Regina Barzilay · Ila R. Fiete
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Poster
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Thu 13:30
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Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
Parth Sangani · Arjun Kashettiwar · Pritish Chakraborty · Bhuvan Gangula · Durga Sivasubramanian · Ganesh Ramakrishnan · Rishabh Iyer · Abir De
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