Francis Bach - RankMe

24 papers A* 3A 3Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Convex Loss Function for Set Prediction with Optimal Trade-offs Between Size and Conditional Coverage. CoRR Francis Bach
2025	J	`jnl`	Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation. J. Mach. Learn. Res. David Holzmüller, Francis Bach
2025	A	`conf`	Efficient Optimization Algorithms for Linear Adversarial Training. AISTATS Antônio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach
2025	J	`jnl`	Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods. J. Mach. Learn. Res. Bertille Follain, Francis Bach
2025	J	`jnl`	Fast kernel methods: Sobolev, physics-informed, and additive models. CoRR Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
2025	J	`jnl`	Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO. J. Mach. Learn. Res. Céline Moucer, Adrien B. Taylor, Francis Bach
2025	J	`jnl`	On the Effectiveness of the z-Transform Method in Quadratic Optimization. CoRR Francis Bach
2025	J	`jnl`	Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity. CoRR Eliot Beyler, Francis Bach
2025	J	`jnl`	Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity. J. Mach. Learn. Res. Eliot Beyler, Francis Bach
2025	J	`jnl`	Physics-informed Kernel Learning. J. Mach. Learn. Res. Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
2025	A*	`conf`	Sampling Binary Data by Denoising through Score Functions. ICML Francis Bach, Saeed Saremi
2025	J	`jnl`	Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf's Law. CoRR Frederik Kunstner, Francis Bach
2025	J	`jnl`	Spectral structure learning for clinical time series. CoRR Ivan Lerner, Anita Burgun, Francis Bach
2025	J	`jnl`	StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization. CoRR Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo
2025	A*	`conf`	Statistical Collusion by Collectives on Learning Platforms. ICML Etienne Gauthier, Francis Bach, Michael I. Jordan
2025	J	`jnl`	Structured Matrix Scaling for Multi-Class Calibration. CoRR Eugene Berta, David Holzmüller, Michael I. Jordan, Francis Bach
2025	J	`jnl`	Sum-of-Squares Relaxations for Information Theory and Variational Inference. Found. Comput. Math. Francis Bach
2025	A*	`conf`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. ICML Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis Bach
2025	A	`conf`	Variational Inference on the Boolean Hypercube with the Quantum Entropy. AISTATS Eliot Beyler, Francis Bach
2024	J	`jnl`	Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods. CoRR Bertille Follain, Francis Bach
2024	J	`jnl`	Optimizing Estimators of Squared Calibration Errors in Classification. CoRR Sebastian G. Gruber, Francis Bach
2024	A	`conf`	The Galerkin method beats Graph-Based Approaches for Spectral Algorithms. AISTATS Vivien A Cabannnes, Francis Bach
2024	J	`jnl`	Variational Inference on the Boolean Hypercube with the Quantum Entropy. CoRR Eliot Beyler, Francis Bach
2023	J	`jnl`	Nonparametric Linear Feature Learning in Regression Through Regularisation. CoRR Bertille Follain, Umut Simsekli, Francis Bach