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Constrained Learning with Non-Convex Losses

8 March 2021

Alejandro Ribeiro

Papers citing "Constrained Learning with Non-Convex Losses"

25 / 25 papers shown

Title
Constrained Sliced Wasserstein Embedding Navid Naderializadeh Darian Salehi Xinran Liu Soheil Kolouri 31 0 0 02 Jun 2025
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 126 0 0 19 May 2025
Mathematics of Continual Learning Liangzu Peng René Vidal CLL 114 0 0 24 Apr 2025
The Lagrangian Method for Solving Constrained Markov Games Soham Das Santiago Paternain Luiz F. O. Chamon Ceyhun Eksin 126 0 0 13 Mar 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 89 3 0 08 Jan 2025
Constrained Diffusion Models via Dual Training Shervin Khalafi Dongsheng Ding Alejandro Ribeiro 101 4 0 27 Aug 2024
Fair Risk Minimization under Causal Path-Specific Effect Constraints Razieh Nabi David Benkeser FaML 25 0 0 03 Aug 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 65 6 0 18 Mar 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting Ignacio Hounie Javier Porras-Valenzuela Alejandro Ribeiro AI4TS 46 1 0 14 Feb 2024
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 131 3 0 25 Dec 2023
Strong Duality Relations in Nonconvex Risk-Constrained Learning Dionysis Kalogerias Spyridon Pougkakiotis 66 0 0 02 Dec 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 160 4 0 07 Nov 2023
Balancing Act: Constraining Disparate Impact in Sparse Models Meraj Hashemizadeh Juan Ramirez Rohan Sukumaran G. Farnadi Simon Lacoste-Julien Jose Gallego-Posada 60 6 0 31 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 45 5 0 02 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation Juan Elenter Navid Naderializadeh Tara Javidi Alejandro Ribeiro CLL 102 3 0 29 Sep 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 93 12 0 04 Jun 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 89 5 0 24 May 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 171 30 0 29 Apr 2023
Neural Networks with Quantization Constraints Ignacio Hounie Juan Elenter Alejandro Ribeiro MQ 36 5 0 27 Oct 2022
Multi-task Bias-Variance Trade-off Through Functional Constraints J. Cerviño J. Bazerque Miguel Calvo-Fullana Alejandro Ribeiro 28 0 0 27 Oct 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 95 6 0 01 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 82 12 0 29 Sep 2022
A Lagrangian Duality Approach to Active Learning Juan Elenter Navid Naderializadeh Alejandro Ribeiro 70 23 0 08 Feb 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 126 118 0 27 Nov 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 125 131 0 23 Feb 2021