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← Optimization
Mathematics & Optimization
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Optimization
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Stochastic Methods
2788 directly classified papers
Papers per year
2000: 1
2002: 2
2003: 5
2004: 1
2005: 2
2006: 10
2007: 13
2008: 16
2009: 15
2010: 23
2011: 33
2012: 43
2013: 69
2014: 77
2015: 82
2016: 112
2017: 144
2018: 173
2019: 265
2020: 292
2021: 316
2022: 314
2023: 353
2024: 307
2025: 98
2026: 22
Papers
Model-Based Best Arm Identification for Decreasing Bandits
AISTATS 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
AISTATS 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
Quantifying intrinsic causal contributions via structure preserving interventions
AISTATS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging
AISTATS 2024
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
AISTATS 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Fast 1-Wasserstein distance approximations using greedy strategies
AISTATS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees
AISTATS 2024
Robust variance-regularized risk minimization with concomitant scaling
AISTATS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
AISTATS 2024
A Fast Algorithm for MaxSAT above Half Number of Clauses
IJCAI 2024
Harvesting Memory-bound CPU Stall Cycles in Software with MSH
OSDI 2024
Towards Domain-Specific Network Transport for Distributed DNN Training
NSDI 2024
Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System
NSDI 2024
Jolteon: Unleashing the Promise of Serverless for Serverless Workflows
NSDI 2024
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
NIPS 2024
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise
NIPS 2024
Online Composite Optimization Between Stochastic and Adversarial Environments
NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NIPS 2024
Accelerating Relative Entropy Coding with Space Partitioning
NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent
NIPS 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
NIPS 2024
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