firstbacksecondback
25 Results
|
Workshop
|
Differentiable Approximations of Fair OWA Optimization My Dinh · James Kotary · Ferdinando Fioretto |
||
|
Poster
|
Wed 4:30 |
Differentiability and Optimization of Multiparameter Persistent Homology Luis Scoccola · Siddharth Setlur · David Loiseaux · Mathieu Carrière · Steve Oudot |
|
|
Poster
|
Wed 2:30 |
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization Andrew Lowy · Jonathan Ullman · Stephen Wright |
|
|
Workshop
|
Better Structure- and Function-Aware Substitution Matrices via Differentiable Graph Matching Paolo Pellizzoni · Carlos Oliver · Karsten Borgwardt |
||
|
Poster
|
Tue 4:30 |
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements Naman Agarwal · Satyen Kale · Karan Singh · Abhradeep Guha Thakurta |
|
|
Workshop
|
A framework for differentiable Supervised Graph Prediction Paul KRZAKALA · Junjie Yang · Rémi Flamary · Florence d'Alché-Buc · Charlotte Laclau · Matthieu Labeau |
||
|
Workshop
|
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang · Ashwinee Panda · Milad Nasr · Saeed Mahloujifar · Prateek Mittal |
||
|
Workshop
|
DiffFit: Differentiable Fitting of Molecule Structures to Cryo-EM Map Deng Luo · Zainab Alsuwaykit · Dawar Khan · Ondrej Strnad · Tobias Isenberg · Ivan Viola |
||
|
Workshop
|
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Michael Cummins · Alberto Padoan · Keith Moffat · John Lygeros · Florian Dörfler |
||
|
Poster
|
Thu 4:30 |
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations Feng Gao · Liangzhi Shi · Shenao Zhang · Zhaoran Wang · Yi Wu |
|
|
Workshop
|
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates Cristian Meo · Ksenia Sycheva · Anirudh Goyal · Justin Dauwels |
||
|
Workshop
|
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion · Anna Korba · Peter Bartlett · Mathieu Blondel · Valentin De Bortoli · Arnaud Doucet · Felipe Llinares-Lopez · Courtney Paquette · Quentin Berthet |