Francis Bach
Identifiers
- name variant Francis Bach 0.60 · backfill
Papers (57)
- CalArena: A Large-Scale Post-Hoc Calibration Benchmark cs.LG · 2026 · author #3
- Super-Level-Set Regression: Conditional Quantiles via Volume Minimization stat.ML · 2026 · author #3
- Explaining and Preventing Alignment Collapse in Iterative RLHF cs.LG · 2026 · author #2
- Differentiable latent structure discovery for interpretable forecasting in clinical time series cs.LG · 2026 · author #5
- Anytime Detection of Strategic Deviations in Multi-Agent Systems cs.GT · 2026 · author #2
- Multivariate Standardized Residuals for Conformal Prediction stat.ML · 2025 · author #4
- Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation stat.ML · 2023 · author #2
- Fast Decomposable Submodular Function Minimization using Constrained Total Variation cs.LG · 2019 · author #2
- An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums math.OC · 2019 · author #2
- Unsupervised Image Matching and Object Discovery as Optimization cs.CV · 2019 · author #2
- A General Theory for Structured Prediction with Smooth Convex Surrogates cs.LG · 2019 · author #2
- A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise cs.LG · 2019 · author #1
- Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums math.OC · 2019 · author #2
- Overcomplete Independent Component Analysis via SDP stat.ML · 2019 · author #4
- Fast Iterative Shrinkage for Signal Declipping and Dequantization eess.SP · 2018 · author #2
- Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models stat.ML · 2018 · author #2
- Approximating the Quadratic Transportation Metric in Near-Linear Time cs.DS · 2018 · author #2
- Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron cs.LG · 2018 · author #2
- Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives math.OC · 2018 · author #2
- Localized Structured Prediction stat.ML · 2018 · author #2
- Nonlinear Acceleration of CNNs math.OC · 2018 · author #4
- Optimal Algorithms for Non-Smooth Distributed Optimization in Networks math.OC · 2018 · author #2
- Stochastic algorithms with descent guarantees for ICA stat.ML · 2018 · author #4
- Online Regularized Nonlinear Acceleration math.OC · 2018 · author #4
- Relating Leverage Scores and Density using Regularized Christoffel Functions cs.LG · 2018 · author #2
- Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching math.OC · 2018 · author #3
- Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling stat.ML · 2018 · author #2
- Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes math.OC · 2018 · author #3
- Averaging Stochastic Gradient Descent on Riemannian Manifolds cs.LG · 2018 · author #3
- Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization math.OC · 2017 · author #2
- Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods math.OC · 2017 · author #3
- Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach math.OC · 2017 · author #2
- Combinatorial Penalties: Which structures are preserved by convex relaxations? cs.LG · 2017 · author #2
- A Generic Approach for Escaping Saddle points cs.LG · 2017 · author #5
- Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance math.PR · 2017 · author #2
- Nonlinear Acceleration of Stochastic Algorithms math.OC · 2017 · author #3
- On Structured Prediction Theory with Calibrated Convex Surrogate Losses cs.LG · 2017 · author #2
- Integration Methods and Accelerated Optimization Algorithms math.OC · 2017 · author #3
- Robust Discriminative Clustering with Sparse Regularizers stat.ML · 2016 · author #3
- Parameter Learning for Log-supermodular Distributions stat.ML · 2016 · author #2
- Regularized Nonlinear Acceleration math.OC · 2016 · author #3
- Beyond CCA: Moment Matching for Multi-View Models stat.ML · 2016 · author #2
- Rethinking LDA: moment matching for discrete ICA stat.ML · 2015 · author #2
- Learning with Clustering Structure cs.LG · 2015 · author #4
- On the Consistency of Ordinal Regression Methods cs.LG · 2014 · author #2
- Non-parametric Stochastic Approximation with Large Step sizes math.ST · 2014 · author #2
- Weakly Supervised Action Labeling in Videos Under Ordering Constraints cs.CV · 2014 · author #3
- On The Sample Complexity of Sparse Dictionary Learning stat.ML · 2014 · author #5
- Convex Relaxations for Permutation Problems math.OC · 2013 · author #3
- A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method cs.LG · 2012 · author #3
- Approximation Bounds for Sparse Principal Component Analysis math.OC · 2012 · author #2
- Multiple Gaussian Process Models stat.ML · 2011 · author #2
- Dictionary Learning for Deblurring and Digital Zoom cs.LG · 2011 · author #3
- Convex Relaxations for Subset Selection math.OC · 2010 · author #1
- A path following algorithm for the graph matching problem cs.CV · 2008 · author #2
- Optimal Solutions for Sparse Principal Component Analysis cs.AI · 2007 · author #2
- Low-rank matrix factorization with attributes cs.LG · 2006 · author #2
Mentions
- 2605.30188 #3 · arxiv_oai · confidence 0.70 Francis Bach
- 1306.4805 #3 · backfill · confidence 0.70 Francis Bach
- 1212.2002 #3 · backfill · confidence 0.70 Francis Bach
- 2601.05427 #2 · arxiv_oai · confidence 0.70 Francis Bach
- 1205.0121 #2 · backfill · confidence 0.70 Francis Bach
- 1110.5238 #2 · backfill · confidence 0.70 Francis Bach
- 1110.0957 #3 · backfill · confidence 0.70 Francis Bach
- 1006.3601 #1 · backfill · confidence 0.70 Francis Bach
- 0801.3654 #2 · backfill · confidence 0.70 Francis Bach
- 0707.0705 #2 · backfill · confidence 0.70 Francis Bach
Frequent Coauthors
- Alexandre d'Aspremont 11 shared papers
- Michael I. Jordan 6 shared papers
- Damien Scieur 5 shared papers
- Simon Lacoste-Julien 4 shared papers
- Alessandro Rudi 3 shared papers
- Anastasia Podosinnikova 3 shared papers
- Hadrien Hendrikx 3 shared papers
- Jean-Philippe Vert 3 shared papers
- Jean Ponce 3 shared papers
- Laurent Massouli\'e 3 shared papers
- Alexandre Gramfort 2 shared papers
- Anton Osokin 2 shared papers
- David Holzm\"uller 2 shared papers
- Edouard Oyallon 2 shared papers
- Etienne Gauthier 2 shared papers
- Eug\`ene Berta 2 shared papers
- Fajwel Fogel 2 shared papers
- Jonathan Weed 2 shared papers
- Junqi Tang 2 shared papers
- Laurent El Ghaoui 2 shared papers