Michael Eli Sander
6 papers · 2023–2025 · 2 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Deep Learning
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Optimization & Theory · Machine Learning
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Artificial Intelligence
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Mathematics & Optimization
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Optimization & Theory · Deep Learning
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Keywords
in-context learning
(2)
convex optimization
(1)
multi-label classification
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global convergence
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transformer
(1)
partition function
(1)
gradient descent
(1)
linear programming
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f-divergence
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differentiable programming
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sparse model
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autoregressive model
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gradient flow
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implicit regularization
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energy-based model
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approximation theory
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positional encoding
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cross-entropy loss
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residual network
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sparse mixture of expert
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Papers
Joint Learning of Energy-based Models and their Partition Function
ICML 2025
Loss Functions and Operators Generated by f-Divergences
ICML 2025
Towards Understanding the Universality of Transformers for Next-Token Prediction
ICLR 2025
How do Transformers Perform In-Context Autoregressive Learning ?
ICML 2024
Implicit regularization of deep residual networks towards neural ODEs
ICLR 2024
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023