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Workshop
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Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model
Aisha Belhadi
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Poster
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Wed 15:00
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Online Control for Meta-optimization
Xinyi Chen · Elad Hazan
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Workshop
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Representational constraints underlying similarity between task-optimized neural systems
Tahereh Toosi
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Workshop
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Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding · Masrour Zoghi · Guy Tennenholtz · Maryam Karimzadehgan
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Workshop
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Associative Memories with Heavy-Tailed Data
Vivien Cabannes · Elvis Dohmatob · Alberto Bietti
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Poster
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Wed 8:45
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Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
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Workshop
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Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs
Zihan Zhou · Honghao Wei · Lei Ying
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Workshop
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Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Nikhil Sardana · Jonathan Frankle
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Workshop
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Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson · Chris Lu · Louis Kirsch · Robert Lange · Shimon Whiteson · Jakob Foerster
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Workshop
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Representational constraints underlying similarity between task-optimized neural systems
Tahereh Toosi
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Workshop
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Sat 9:00
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Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations - Nathan Kallus
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Poster
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Thu 8:45
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Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Ankit Pensia · Thanasis Pittas
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