conftrace_

stochastic method

95 papers

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Co-occurring keywords

convex optimization (1321) regret bound (1926) online learning (1777) non-convex optimization (547) markov chain monte carlo (725) stochastic optimization (1060) convergence rate (607) gradient descent (1144) distributed optimization (275) stochastic gradient descent (1091)

Papers

Non-Convex Bilevel Optimization with Time-Varying Objective Functions NIPS 2023
Efficient Online Clustering with Moving Costs NIPS 2023
On the Efficacy of Sampling Adapters ACL 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NIPS 2023
Learning with little mixing NIPS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022
The Semi-random Likelihood of Doctrinal Paradoxes AAAI 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NIPS 2022
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NIPS 2022
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NIPS 2021
Revisiting Projection-free Online Learning: the Strongly Convex Case AISTATS 2021
Convergence Properties of Stochastic Hypergradients AISTATS 2021
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation AAAI 2021
Numerical Composition of Differential Privacy NIPS 2021
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021
Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020
Large-Scale Methods for Distributionally Robust Optimization NIPS 2020