2025
STORK: Improving the Fidelity of Mid-NFE Sampling for Diffusion and Flow Matching Models.
CoRR, May, 2025
Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models.
CoRR, May, 2025
LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail).
CoRR, February, 2025
Deflated Dynamics Value Iteration.
Trans. Mach. Learn. Res., 2025
Accelerated Minimax Algorithms Flock Together.
SIAM J. Optim., 2025
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs.
SIAM J. Optim., 2025
Encryption-Friendly LLM Architecture.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods.
Math. Program., March, 2024
Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods.
Math. Program., March, 2024
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model.
Trans. Mach. Learn. Res., 2024
Optimal First-Order Algorithms as a Function of Inequalities.
J. Mach. Learn. Res., 2024
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models.
CoRR, 2024
Optimization Algorithm Design via Electric Circuits.
CoRR, 2024
Task Diversity Shortens the ICL Plateau.
CoRR, 2024
Gradient-free Decoder Inversion in Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Optimization Algorithm Design via Electric Circuits.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
LoRA Training in the NTK Regime has No Spurious Local Minima.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Image Clustering Conditioned on Text Criteria.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Continuous-time Analysis of Anchor Acceleration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Accelerating Value Iteration with Anchoring.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations.
Proceedings of the International Conference on Machine Learning, 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations.
Proceedings of the International Conference on Machine Learning, 2023
2022
Scaled relative graphs: nonexpansive operators via 2D Euclidean geometry.
Math. Program., 2022
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems.
Proceedings of the International Conference on Machine Learning, 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations.
Proceedings of the International Conference on Machine Learning, 2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
Robust Probabilistic Time Series Forecasting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates.
IEEE Trans. Autom. Control., 2021
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm.
Proceedings of the 38th International Conference on Machine Learning, 2021
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET.
SIAM J. Sci. Comput., 2020
Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection.
SIAM J. Optim., 2020
Linear convergence of cyclic SAGA.
Optim. Lett., 2020
Uniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splitting.
Math. Program., 2020
Finding the Forward-Douglas-Rachford-Forward Method.
J. Optim. Theory Appl., 2020
Scaled Relative Graph of Normal Matrices.
CoRR, 2020
2019
A new use of Douglas-Rachford splitting for identifying infeasible, unbounded, and pathological conic programs.
Math. Program., 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs.
CoRR, 2019
Douglas-Rachford splitting and ADMM for pathological convex optimization.
Comput. Optim. Appl., 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications.
SIAM J. Sci. Comput., 2018
Unbalanced and Partial L<sub>1</sub> Monge-Kantorovich Problem: A Scalable Parallel First-Order Method.
J. Sci. Comput., 2018
A Parallel Method for Earth Mover's Distance.
J. Sci. Comput., 2018
2017
A New Use of Douglas-Rachford Splitting and ADMM for Identifying Infeasible, Unbounded, and Pathological Conic Programs.
CoRR, 2017
2015
Extensions of Gauss Quadrature Via Linear Programming.
Found. Comput. Math., 2015
2012
Stochastic Kronecker Graph on Vertex-Centric BSP
CoRR, 2012