2025 Poster "convex optimization" Papers
9 papers found
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
Sebastian Kassing, Simon Weissmann, Leif Döring
NeurIPS 2025posterarXiv:2505.11434
1
citations
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
Ofir Gaash, Kfir Y. Levy, Yair Carmon
NeurIPS 2025posterarXiv:2502.16492
4
citations
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng, Margalit Glasgow
ICLR 2025posterarXiv:2409.13155
3
citations
Descent with Misaligned Gradients and Applications to Hidden Convexity
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
ICLR 2025poster
Isotropic Noise in Stochastic and Quantum Convex Optimization
Annie Marsden, Liam O'Carroll, Aaron Sidford et al.
NeurIPS 2025posterarXiv:2510.20745
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin et al.
NeurIPS 2025posterarXiv:2506.00838
1
citations
MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
Anvith Thudi, Chris Maddison
ICLR 2025posterarXiv:2406.01477
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
Francesco Orabona, Ryan D'Orazio
NeurIPS 2025posterarXiv:2505.20219
5
citations
Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
Daniil Vankov, Anton Rodomanov, Angelia Nedich et al.
ICLR 2025posterarXiv:2410.10800
22
citations