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← Optimization & Theory
Deep Learning
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Optimization & Theory
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Stochastic Methods
97 directly classified papers
Papers per year
2007: 1
2010: 1
2013: 2
2014: 1
2015: 6
2016: 4
2017: 4
2018: 9
2019: 12
2020: 9
2021: 17
2022: 14
2023: 5
2024: 9
2025: 3
Papers
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
NIPS 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
NIPS 2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization
NIPS 2022
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
NIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NIPS 2022
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
NIPS 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
NIPS 2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
NIPS 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior
CVPR 2021
Efficient and Accurate Gradients for Neural SDEs
NIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections
NIPS 2021
Conditional Poisson Stochastic Beams
EMNLP 2021
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task
EMNLP 2021
ErrorCompensatedX: error compensation for variance reduced algorithms
NIPS 2021
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
AAAI 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
AAAI 2021
Deterministic Mini-batch Sequencing for Training Deep Neural Networks
AAAI 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
Convergence of adaptive algorithms for constrained weakly convex optimization
NIPS 2021
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task
ACL 2021
AC-GC: Lossy Activation Compression with Guaranteed Convergence
NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
NIPS 2021
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
AAAI 2020
Amortized variance reduction for doubly stochastic objective
UAI 2020
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