Shoham Sabach
10 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Bronze
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(20)
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Century Club Β· Bronze
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Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Deep Learning
(3)
Mathematics & Optimization
(2)
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(2)
Optimization
(2)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
value function
(2)
reinforcement learning
(1)
imitation learning
(1)
stochastic gradient descent
(1)
temporal difference learning
(1)
iterative optimization
(1)
continual learning
(1)
domain adaptation
(1)
convex optimization
(1)
convergence analysis
(1)
function space
(1)
deep reinforcement learning
(1)
stochastic process
(1)
low-rank matrix recovery
(1)
fisher information matrix
(1)
hessian matrix
(1)
optimization theory
(1)
plackett-luce model
(1)
regularized optimization
(1)
augmented lagrangian
(1)
Papers
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
ICML 2025
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
ICML 2025
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
ICML 2025
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
AISTATS 2024
Learning the Target Network in Function Space
ICML 2024
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
ICML 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NeurIPS 2023
TD Convergence: An Optimization Perspective
NeurIPS 2023