Shoham Sabach
10 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (6) πΊοΈ Taxonomy Completionist (10)
π
Century Club
(10)
Conferences
ICML (5)
AISTATS (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
augmented lagrangian
(1)
deep reinforcement learning
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
iterative optimization
(1)
convex optimization
(1)
convergence analysis
(1)
value function
(1)
temporal-difference learning
(1)
stochastic process
(1)
low-rank matrix recovery
(1)
hessian matrix
(1)
optimization theory
(1)
second-order optimization
(1)
projection-free optimization
(1)
conditional gradient
(1)
convergence rate
(1)
frank-wolfe method
(1)
weak proximal oracle
(1)
cubic regularized newton method
(1)
Papers
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
ICML 2025
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
ICML 2025
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
ICML 2025
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
ICML 2024
Learning the Target Network in Function Space
ICML 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
AISTATS 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
TD Convergence: An Optimization Perspective
NIPS 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NIPS 2023