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Poster
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Tue 9:00
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Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
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Poster
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Thu 14:00
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SQ Lower Bounds for Learning Single Neurons with Massart Noise
Ilias Diakonikolas · Daniel Kane · Lisheng Ren · Yuxin Sun
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Poster
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Thu 14:00
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Reconstruction on Trees and Low-Degree Polynomials
Frederic Koehler · Elchanan Mossel
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Workshop
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Conditioned Spatial Downscaling of Climate Variables
Alex Hung · Evan Becker · Ted Zadouri · Aditya Grover
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Affinity Workshop
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Assessing Schistosomiasis transmission dynamics with heterogeneous intermediate host: A modeling study
Chidozie Chukwu
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Poster
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Wed 14:00
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Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer · Max Hopkins · Chutong Yang · Hantao Yu
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Workshop
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Fri 11:06
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Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka
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Poster
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Wed 9:00
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Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
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Poster
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Thu 9:00
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Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
Amit Dhurandhar · Karthikeyan Natesan Ramamurthy · Karthikeyan Shanmugam
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Poster
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Thu 14:00
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A Kernelised Stein Statistic for Assessing Implicit Generative Models
Wenkai Xu · Gesine D Reinert
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Workshop
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LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery
Jeyhun Rustamov · Luisa Fennert · Nico Hoffmann
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Poster
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Thu 9:00
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
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