Research
Research is a major part in the Machine Learning field. With multiple publications each year, we are standing within the best.
2021
Lifelong Machine Learning with Data Efficiency and Knowledge Retention
Lausanne, EPFL, 2021.2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020-09-29. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.CUMULATOR — a tool to quantify and report the carbon footprint of machine learning computations and communication in academia and healthcare
2020-06-19.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.Collaborative Sampling in Generative Adversarial Networks
2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020. p. 4948-4956. DOI : 10.1609/aaai.v34i04.5933.Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders
2020. 17th International Conference on Natural Language Processing, 1-7 December 2020.BertAA: BERT fine-tuning for Authorship Attribution
2020. 17th International Conference on Natural Language Processing, 1-7 December 2020.UCLID-Net: Single View Reconstruction in Object Space
2020. 34th Conference on Neural Information Processing Systems, Virtual, December 6-12, 2020.Neural Anisotropy Directions
2020. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Hold me tight! Influence of discriminative features on deep network boundaries
2020. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), [Virtual only], December 6-12, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Adaptive Gradient Descent without Descent
2020. 37th International Conference on Machine Learning (ICML 2020), Virtual , July 12-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.What graph neural networks cannot learn: depth vs width
2020. International Conference on Learning Representations, Addis Ababa, Ethiopia, April 26-30, 2020.On the Relationship between Self-Attention and Convolutional Layers
2020. Eighth International Conference on Learning Representations – ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020.Domain-Adaptive Multibranch Networks
2020. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.2019
Extrapolating Paths with Graph Neural Networks
2019-08-10. International Joint Conference on Artificial Intelligence, Macao, China, August 10-16, 2019.Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
2019-06-09. ICML 2019 – International Conference on Machine Learning, Long Beach, California, USA, 9-15 June 2019.Memory Efficient Max Flow for Multi-Label Submodular MRFs
IEEE Transactions On Pattern Analysis And Machine Intelligence (PAMI). 2019-04-01. Vol. 41, num. 4, p. 886-900. DOI : 10.1109/TPAMI.2018.2819675.On the convergence of stochastic primal-dual hybrid gradient
2019
An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2019. DOI : 10.1007/s12532-019-00173-3.Stochastic Frank-Wolfe for Composite Convex Minimization
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.Fast and Provable ADMM for Learning with Generative Priors
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.Error Feedback Fixes SignSGD and other Gradient Compression Schemes
2019. 36th International Conference on Machine Learning (ICML) 2019, Long Beach, USA, June 9-15, 2019. p. 3252-3261.Overcoming Multi-model Forgetting
2019. ICML 2019 – 36th International Conference on Machine Learning, Long Beach, California, USA, June 09-15, 2019. p. 594-603.Graph Reduction with Spectral and Cut Guarantees
Journal of Machine Learning Research. 2019. Vol. 20, num. 116, p. 1-42.Walrasian Dynamics in Multi-unit Markets
2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, Jan 27-Feb 01, 2019. p. 1812-1819.Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
2019.Generating Artificial Data for Private Deep Learning
2019.Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
2019.Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation
2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, Jan 27-Feb 01, 2019. p. 9534-9540.Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
2019.Applications of Artificial Intelligence to Computational Chemistry
Lausanne, EPFL, 2019.On Certifying Non-Uniform Bounds against Adversarial Attacks
2019. 36th International Conference on Machine Learning (ICML)’2019, Long Beach, USA, June 9-15, 2019.[Re] Meta learning with differentiable closed-form solvers
The ReScience journal C. 2019.Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Efficient learning of smooth probability functions from Bernoulli tests with guarantees.
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.A Conditional Gradient-Based Augmented Lagrangian Framework
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Almost surely constrained convex optimization
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Iterative Classroom Teaching
2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, January 27 – February 1, 2019. p. 5684-5692.2018
Training DNNs with Hybrid Block Floating Point
2018-12-04. NeurIPS 2018 – Neural Information Processing Systems, Montréal Canada, December 2-8, 2018.Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
2018-12-02. 32nd Annual Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December 2-8, 2018.Sparsified SGD with Memory
2018-12-02. NeurIPS 2018 – 32nd Annual Conference on Neural Information Processing Systems, Montréal, Canada, December 2-8, 2018.A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
2018-07-11. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.Spectrally approximating large graphs with smaller graphs
2018-07-10. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.Online Adaptive Methods, Universality and Acceleration
2018-07-04. 32nd Conference on Neural Information Processing Systems conference (NIPS 2018), Montreal, Canada, December 3-8, 2018.Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
2018-06-08. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.On Matching Pursuit and Coordinate Descent
2018-05-01. ICML 2018 – 35th International Conference on Machine Learning.Personalized and Private Peer-to-Peer Machine Learning
2018-04-09. AISTATS.Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
2018-03-11. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.A Distributed Second-Order Algorithm You Can Trust
2018. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, 10-15 July 2018. p. 1358-1366.Asynchronous Byzantine Machine Learning (the case of SGD)
2018. 35th International Conference on Machine Learning, Stockholm, SWEDEN, July 10-15, 2018. p. 1145-1154.Non-Discriminatory Machine Learning through Convex Fairness Criteria
2018. 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, New Orleans, LA, February 02-07, 2018. p. 3029-3036.Neural Tanget Kernel: Convergence and Generalization in Neural Networks
2018. NIPS’18 Proceedings of the 32nd International Conference on Neural Information Processing Systems, Montréal – Canada, December 3-8, 2018.Online Adaptive Methods, Universality and Acceleration
2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Mirrored Langevin Dynamics
2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Training DNNs with Hybrid Block Floating Point
2018-01-01. NeurIPS 2018 – 32nd Conference on Neural Information Processing Systems, Montreal, CANADA, Dec 02-08, 2018.Adversarially Robust Optimization with Gaussian Processes
2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.Finding Mixed Nash Equilibria of Generative Adversarial Networks
2018. IEEE International Conference on Machine Learning (ICML)’ 2019, Long Beach, USA, June 9-15, 2019.The Hidden Vulnerability of Distributed Learning in Byzantium
2018. International Conference on Machine Learning, Stockholm, Sweden, July 10-15, 2018.Fast Approximate Spectral Clustering for Dynamic Networks
2018. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.Beyond Sharing Weights for Deep Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018. Vol. 41, num. 4, p. 801-814. DOI : 10.1109/TPAMI.2018.2814042.Dimension-free Information Concentration via Exp-Concavity
2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018.Robust Maximization of Non-Submodular Objectives
2018. International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April, 9-11, 2018.High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
2018. AISTATS, Lanzarote, Spain, April, 9-11, 2018.Stochastic Three-Composite Convex Minimization with a Linear Operator
2018. 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018,, Lanzarotte, Spain, April 9-11, 2018.Let’s be honest: An optimal no-regret framework for zero-sum games
2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
2017-12-04. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, USA, December 4-9, 2017.Deep Subspace Clustering Networks
2017. Neural Information Processing Systems (NIPS).Compression-aware Training of Deep Networks
2017. Neural Information Processing Systems (NIPS).Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach,Safe Adaptive Importance Sampling
2017. Neural Information Processing Systems (NIPS), Long Beach, USA, December 4-9, 2017.Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
2017. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 4-9, 2017.Phase Transitions in the Pooled Data Problem
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.Combinatorial Penalties: Which structures are preserved by convex relaxations?
2017. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarotte, Spain , April 9-11, 2017.On The Robustness of a Neural Network
2017. 36th IEEE International Symposium on Reliable Distributed Systems, Hong Kong, September 26-29, 2017.Approximate Steepest Coordinate Descent
2017. ICML 2017 – International Conference on Machine Learning, Sydney, Australia, Aug 6-11, 2017.Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
2017