Eldar Kurtic
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
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Conferences
NIPS (4)
ICML (3)
EMNLP (2)
ACL (1)
ICLR (1)
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Research topics
Keywords
model compression
(2)
knowledge distillation
(2)
second-order optimization
(2)
model quantization
(1)
mathematical reasoning
(1)
sparse model
(1)
neural network training
(1)
network pruning
(1)
llm evaluation
(1)
distributed optimization
(1)
neural network optimization
(1)
model pruning
(1)
convergence guarantee
(1)
bert compression
(1)
neural network pruning
(1)
adaptive optimization
(1)
gradient compression
(1)
memory efficiency
(1)
adam optimizer
(1)
neural network compression
(1)
Papers
βGive Me BF16 or Give Me Deathβ? Accuracy-Performance Trade-Offs in LLM Quantization
ACL 2025
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
ICML 2025
Error Feedback Can Accurately Compress Preconditioners
ICML 2024
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
NIPS 2024
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
EMNLP 2024
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
NIPS 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
ICML 2023
CrAM: A Compression-Aware Minimizer
ICLR 2023
ZipLM: Inference-Aware Structured Pruning of Language Models
NIPS 2023
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
EMNLP 2022
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NIPS 2021