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Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs
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arxiv.org
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Stochastic Approximation with Block Coordinate Optimal Stepsizes
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arxiv.org
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Quantization through Piecewise-Affine Regularization: Optimization and Statistical Guarantees
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openreview.net
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Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
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openreview.net
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ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
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openreview.net
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LoRe: Personalizing LLMs via Low-Rank Reward Modeling
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proceedings.mlr.press
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PARQ: Piecewise-Affine Regularized Quantization
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proceedings.mlr.press
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Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
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projecteuclid.org
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Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints
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arxiv.org
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Dual Approximation Policy Optimization
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arxiv.org
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An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
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openreview.net
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Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
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openreview.net
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Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
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pubsonline.informs.org
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Stochastic Optimization with Decision-Dependent Distributions
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link.springer.com
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Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization
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jmlr.org
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On the convergence rates of policy gradient methods
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proceedings.neurips.cc
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BiT: Robustly Binarized Multi-distilled Transformer
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proceedings.neurips.cc
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Advances in Neural Information Processing Systems (NeurIPS) 35/, 2022.
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proceedings.mlr.press
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Federated Learning with Partial Model Personalization
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openreview.net
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FedShuffle: Recipes for Better Use of Local Work in Federated Learning
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link.springer.com
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On self-concordant barriers for generalized power cones
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jmlr.org
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From low probability to high confidence in stochastic convex optimization
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link.springer.com
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Accelerated Bregman proximal gradient methods for relatively smooth convex optimization
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arxiv.org
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MultiLevel Composite Stochastic Optimization via Nested Variance Reduction
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arxiv.org
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Adaptive stochastic variance reduction for subsampled Newton method with cubic regularization
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arxiv.org
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Statistical Adaptive Stochastic Gradient Methods
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proceedings.mlr.press
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Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
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jmlr.org
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DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
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papers.nips.cc
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Using Statistics to Automate Stochastic Optimization
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proceedings.neurips.cc
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Understanding the Role of Momentum in Stochastic Gradient Methods
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proceedings.neurips.cc
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Stochastic Composite Gradient Method with Incremental Variance Reduction
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proceedings.mlr.press
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A Composite Randomized Incremental Gradient Method
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papers.nips.cc
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Coupled Variational Bayes via Optimization Embedding
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papers.nips.cc
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Learning SMaLL Predictors
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proceedings.mlr.press
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SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
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auai.org
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Sparse Multi-Prototype Classification
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arxiv.org
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Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
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jmlr.org
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Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
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arxiv.org
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Variational Gram functions: convex analysis and optimization
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arxiv.org
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A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming
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papers.nips.cc
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Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
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proceedings.mlr.press
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Stochastic Variance Reduction Methods for Policy Evaluation
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proceedings.mlr.press
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Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
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epubs.siam.org
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An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization
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arxiv.org
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On the Complexity Analysis of Randomized Block-Coordinate Descent Methods
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link.springer.com
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An adaptive accelerated proximal gradient method and its homotopy continuation for sparse optimization
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papers.nips.cc
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End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
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dl.acm.org
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Scaling Up Stochastic Dual Coordinate Ascent
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proceedings.mlr.press
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Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
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proceedings.mlr.press
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DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
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epubs.siam.org
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A Proximal Stochastic Gradient Method with Progressive Variance Reduction
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papers.nips.cc
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An Accelerated Proximal Coordinate Gradient Method
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aaai.org
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Online Classification Using a Voted RDA Method
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proceedings.mlr.press
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An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization
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epubs.siam.org
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A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem
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jmlr.org
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Optimal Distributed Online Prediction Using Mini-Batches
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icml.cc
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A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem
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icml.cc
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Hierarchical Classification via Orthogonal Transfer
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icml.cc
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Optimal Distributed Online Prediction
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dl.acm.org
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Distributed algorithms via gradient descent for fisher markets
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jmlr.org
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Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
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ieeexplore.ieee.org
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A Geometric Perspective of Large-Margin Training of Gaussian Models
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link.springer.com
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Learning to classify with missing and corrupted features
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learningtheory.org
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Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback
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epubs.siam.org
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Fastest Mixing Markov Chain on Graphs with Symmetries
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papers.nips.cc
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Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
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usenix.org
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Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services
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sciencedirect.com
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Distributed average consensus with least-mean-square deviation
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epubs.siam.org
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The Fastest Mixing Markov Process on a Graph and a Connection to a Maximum Variance Unfolding Problem
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ieeexplore.ieee.org
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Cross-layer optimization of wireless networks using nonlinear column generation
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link.springer.com
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Optimal Scaling of a Gradient Method for Distributed Resource Allocation
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tandfonline.com
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Fastest Mixing Markov Chain on a Path
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dl.acm.org
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A duality view of spectral methods for dimensionality reduction
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ieeexplore.ieee.org
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A space-time diffusion scheme for peer-to-peer least-squares estimation
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epubs.siam.org
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Least-Squares Covariance Matrix Adjustment
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projecteuclid.org
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Symmetry Analysis of Reversible Markov Chains
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link.springer.com
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Joint Optimization of Wireless Communication and Networked Control Systems
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dl.acm.org
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A scheme for robust distributed sensor fusion based on average consensus
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epubs.siam.org
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Fastest Mixing Markov Chain on a Graph
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sciencedirect.com
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Fast linear iterations for distributed averaging
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ieeexplore.ieee.org
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Simultaneous routing and resource allocation via dual decomposition
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ieeexplore.ieee.org
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A decomposition approach to distributed analysis of networked systems
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ieeexplore.ieee.org
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Scheduling, routing and power allocation for fairness in wireless networks
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ieeexplore.ieee.org
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Joint optimization of communication rates and linear systems
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ieeexplore.ieee.org
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Fast linear iterations for distributed averaging
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web.stanford.edu
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Simultaneous Routing and Resource Allocation in CDMA Wireless Data Networks
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ieeexplore.ieee.org
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Control with random communication delays via a discrete-time jump system approach
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github.com
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jemdoc+MathJax
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