Optimistic Dual Averaging Unifies Modern Optimizers
Fuente:
arXiv
Saved in:
| Main Authors: | Pethick, Thomas, Xie, Wanyun, Machacek, Roman, Cevher, Volkan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAMPa: Sharpness-aware Minimization Parallelized
by: Xie, Wanyun, et al.
Published: (2024)
by: Xie, Wanyun, et al.
Published: (2024)
Stable Nonconvex-Nonconcave Training via Linear Interpolation
by: Pethick, Thomas, et al.
Published: (2023)
by: Pethick, Thomas, et al.
Published: (2023)
Improving SAM Requires Rethinking its Optimization Formulation
by: Xie, Wanyun, et al.
Published: (2024)
by: Xie, Wanyun, et al.
Published: (2024)
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
by: Pethick, Thomas, et al.
Published: (2025)
by: Pethick, Thomas, et al.
Published: (2025)
Training Deep Learning Models with Norm-Constrained LMOs
by: Pethick, Thomas, et al.
Published: (2025)
by: Pethick, Thomas, et al.
Published: (2025)
MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training
by: Xie, Wanyun, et al.
Published: (2026)
by: Xie, Wanyun, et al.
Published: (2026)
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
by: Xie, Wanyun, et al.
Published: (2025)
by: Xie, Wanyun, et al.
Published: (2025)
Layer-wise Quantization for Quantized Optimistic Dual Averaging
by: Nguyen, Anh Duc, et al.
Published: (2025)
by: Nguyen, Anh Duc, et al.
Published: (2025)
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
by: Viel, Stefano, et al.
Published: (2025)
by: Viel, Stefano, et al.
Published: (2025)
Training Neural Networks at Any Scale
by: Pethick, Thomas, et al.
Published: (2025)
by: Pethick, Thomas, et al.
Published: (2025)
On the Role of Batch Size in Stochastic Conditional Gradient Methods
by: Islamov, Rustem, et al.
Published: (2026)
by: Islamov, Rustem, et al.
Published: (2026)
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
by: Wu, Yongtao, et al.
Published: (2025)
by: Wu, Yongtao, et al.
Published: (2025)
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution
by: Barla, Adam, et al.
Published: (2026)
by: Barla, Adam, et al.
Published: (2026)
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
by: Liu, Fanghui, et al.
Published: (2024)
by: Liu, Fanghui, et al.
Published: (2024)
Imitation Learning in Discounted Linear MDPs without exploration assumptions
by: Viano, Luca, et al.
Published: (2024)
by: Viano, Luca, et al.
Published: (2024)
Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025)
by: Erdogan, Mete, et al.
Published: (2025)
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)
by: Afzal, Arshia, et al.
Published: (2025)
Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation
by: Sheebaelhamd, Ziyad, et al.
Published: (2026)
by: Sheebaelhamd, Ziyad, et al.
Published: (2026)
Easy Data Unlearning Bench
by: Rinberg, Roy, et al.
Published: (2026)
by: Rinberg, Roy, et al.
Published: (2026)
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)
by: Neopane, Ojash, et al.
Published: (2025)
Adversarial Training for Defense Against Label Poisoning Attacks
by: Bal, Melis Ilayda, et al.
Published: (2025)
by: Bal, Melis Ilayda, et al.
Published: (2025)
ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining
by: Bal, Melis Ilayda, et al.
Published: (2025)
by: Bal, Melis Ilayda, et al.
Published: (2025)
Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
by: Bergerault, Antoine, et al.
Published: (2026)
by: Bergerault, Antoine, et al.
Published: (2026)
μP$^2$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
by: Haas, Moritz, et al.
Published: (2024)
by: Haas, Moritz, et al.
Published: (2024)
Direct Preference Optimization with Rating Information: Practical Algorithms and Provable Gains
by: Viano, Luca, et al.
Published: (2026)
by: Viano, Luca, et al.
Published: (2026)
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
by: Freihaut, Till, et al.
Published: (2025)
by: Freihaut, Till, et al.
Published: (2025)
Best of Both Worlds: Regret Minimization versus Minimax Play
by: Müller, Adrian, et al.
Published: (2025)
by: Müller, Adrian, et al.
Published: (2025)
Accelerating Spectral Clustering under Fairness Constraints
by: Tonin, Francesco, et al.
Published: (2025)
by: Tonin, Francesco, et al.
Published: (2025)
Truly No-Regret Learning in Constrained MDPs
by: Müller, Adrian, et al.
Published: (2024)
by: Müller, Adrian, et al.
Published: (2024)
Ascent Fails to Forget
by: Mavrothalassitis, Ioannis, et al.
Published: (2025)
by: Mavrothalassitis, Ioannis, et al.
Published: (2025)
Efficient Continual Finite-Sum Minimization
by: Mavrothalassitis, Ioannis, et al.
Published: (2024)
by: Mavrothalassitis, Ioannis, et al.
Published: (2024)
Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)
by: Rocamora, Elias Abad, et al.
Published: (2025)
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
by: Afzal, Arshia, et al.
Published: (2024)
by: Afzal, Arshia, et al.
Published: (2024)
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
by: Ozkara, Kaan, et al.
Published: (2024)
by: Ozkara, Kaan, et al.
Published: (2024)
Generalization of Scaled Deep ResNets in the Mean-Field Regime
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Hadamard product in deep learning: Introduction, Advances and Challenges
by: Chrysos, Grigorios G, et al.
Published: (2025)
by: Chrysos, Grigorios G, et al.
Published: (2025)
On the Generalization of Stochastic Gradient Descent with Momentum
by: Ramezani-Kebrya, Ali, et al.
Published: (2018)
by: Ramezani-Kebrya, Ali, et al.
Published: (2018)
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning
by: Sarkar, Soumajyoti, et al.
Published: (2024)
by: Sarkar, Soumajyoti, et al.
Published: (2024)
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
by: Davtyan, Aram, et al.
Published: (2026)
by: Davtyan, Aram, et al.
Published: (2026)
Similar Items
-
SAMPa: Sharpness-aware Minimization Parallelized
by: Xie, Wanyun, et al.
Published: (2024) -
Stable Nonconvex-Nonconcave Training via Linear Interpolation
by: Pethick, Thomas, et al.
Published: (2023) -
Improving SAM Requires Rethinking its Optimization Formulation
by: Xie, Wanyun, et al.
Published: (2024) -
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
by: Pethick, Thomas, et al.
Published: (2025) -
Training Deep Learning Models with Norm-Constrained LMOs
by: Pethick, Thomas, et al.
Published: (2025)