Youssef Mroueh

116 papers A* 21A 8B 1Misc 3Journal 73Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance. AAAI Jirí Navrátil, Jarret Ross, Payel Das, Youssef Mroueh, Samuel C. Hoffman, Vijil Chenthamarakshan, Brian Belgodere
2026	J	`jnl`	Transform-Augmented GRPO Improves Pass@k. CoRR Khiem Le, Youssef Mroueh, Phuc Nguyen, Chi-Heng Lin, Shangqian Gao, Ting Hua, Nitesh V. Chawla
2025	J	`jnl`	Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis. CoRR Gholamali Aminian, Idan Shenfeld, Amir R. Asadi, Ahmad Beirami, Youssef Mroueh
2025	J	`jnl`	GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance. CoRR Jirí Navrátil, Jarret Ross, Payel Das, Youssef Mroueh, Samuel C. Hoffman, Vijil Chenthamarakshan, Brian Belgodere
2025	J	`jnl`	Guided Speculative Inference for Efficient Test-Time Alignment of LLMs. CoRR Jonathan Geuter, Youssef Mroueh, David Alvarez-Melis
2025	J	`jnl`	Information Theoretic Guarantees For Policy Alignment In Large Language Models. Trans. Mach. Learn. Res. Youssef Mroueh, Apoorva Nitsure
2025	A*	`conf`	Large Language Models can Become Strong Self-Detoxifiers. ICLR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025	J	`jnl`	Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant. CoRR Nicolas Dupuis, Adarsh Tiwari, Youssef Mroueh, David Kremer, Ismael Faro, Juan Cruz-Benito
2025	J	`jnl`	Reinforcement Learning with Verifiable Rewards: GRPO's Effective Loss, Dynamics, and Success Amplification. CoRR Youssef Mroueh
2025	J	`jnl`	Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training. CoRR Youssef Mroueh, Nicolas Dupuis, Brian Belgodere, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross, Jesus Rios
2025	J	`jnl`	Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models. CoRR Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh
2025	J	`jnl`	Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection. CoRR Yihao Xue, Kristjan H. Greenewald, Youssef Mroueh, Baharan Mirzasoleiman
2024	J	`jnl`	Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. IEEE J. Emerg. Sel. Topics Circuits Syst. Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2024	A*	`conf`	Distributional Preference Alignment of LLMs via Optimal Transport. NeurIPS Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jarret Ross
2024	J	`jnl`	Distributional Preference Alignment of LLMs via Optimal Transport. CoRR Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross
2024	J	`jnl`	GP-MoLFormer: A Foundation Model For Molecular Generation. CoRR Jerret Ross, Brian Belgodere, Samuel C. Hoffman, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2024	J	`jnl`	Information Theoretic Guarantees For Policy Alignment In Large Language Models. CoRR Youssef Mroueh
2024	J	`jnl`	Large Language Models can be Strong Self-Detoxifiers. CoRR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024	A*	`conf`	Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. NeurIPS Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024	J	`jnl`	Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. CoRR Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh
2024	A*	`conf`	Risk Aware Benchmarking of Large Language Models. ICML Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross
2023	J	`jnl`	Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023	A*	`conf`	Learning with Stochastic Orders. ICLR Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
2023	J	`jnl`	Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
2023	J	`jnl`	Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross
2022	J	`jnl`	Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR Carles Domingo-Enrich, Youssef Mroueh
2022	—	`conf`	Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
2022	J	`jnl`	Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
2022	A	`conf`	Cycle Consistent Probability Divergences Across Different Spaces. AISTATS Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
2022	J	`jnl`	Effective Dynamics of Generative Adversarial Networks. CoRR Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang
2022	J	`jnl`	Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2022	J	`jnl`	Large-scale chemical language representations capture molecular structure and properties. Nat. Mac. Intell. Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
2022	J	`jnl`	Learning with Stochastic Orders. CoRR Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
2022	J	`jnl`	Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. Trans. Mach. Learn. Res. David Alvarez-Melis, Yair Schiff, Youssef Mroueh
2022	A*	`conf`	Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR Carles Domingo-Enrich, Youssef Mroueh
2021	J	`jnl`	Cycle Consistent Probability Divergences Across Different Spaces. CoRR Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
2021	J	`jnl`	Do Large Scale Molecular Language Representations Capture Important Structural Information? CoRR Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
2021	A*	`conf`	Fair Mixup: Fairness via Interpolation. ICLR Ching-Yao Chuang, Youssef Mroueh
2021	J	`jnl`	Fair Mixup: Fairness via Interpolation. CoRR Ching-Yao Chuang, Youssef Mroueh
2021	A*	`conf`	Improved Mutual Information Estimation. AAAI Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu
2021	A*	`conf`	Measuring Generalization with Optimal Transport. NeurIPS Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
2021	J	`jnl`	Measuring Generalization with Optimal Transport. CoRR Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
2021	A	`conf`	On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. AISTATS Youssef Mroueh, Truyen Nguyen
2021	J	`jnl`	Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. CoRR David Alvarez-Melis, Yair Schiff, Youssef Mroueh
2021	J	`jnl`	Physics-enhanced deep surrogates for PDEs. CoRR Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
2021	A*	`conf`	Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS Carles Domingo-Enrich, Youssef Mroueh
2021	J	`jnl`	Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR Carles Domingo-Enrich, Youssef Mroueh
2021	Misc	`conf`	Tabular Transformers for Modeling Multivariate Time Series. ICASSP Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2021	J	`jnl`	Tighter Sparse Approximation Bounds for ReLU Neural Networks. CoRR Carles Domingo-Enrich, Youssef Mroueh
2020	A*	`conf`	A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. NeurIPS Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das
2020	J	`jnl`	Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson
2020	J	`jnl`	Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
2020	J	`jnl`	Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis. CoRR Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross
2020	J	`jnl`	Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. CoRR Adam Block, Youssef Mroueh, Alexander Rakhlin
2020	J	`jnl`	Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020	Misc	`conf`	Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	J	`jnl`	Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	J	`jnl`	Kernel Stein Generative Modeling. CoRR Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
2020	A*	`conf`	Learning Implicit Text Generation via Feature Matching. ACL Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020	J	`jnl`	Learning Implicit Text Generation via Feature Matching. CoRR Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020	J	`jnl`	On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. CoRR Youssef Mroueh, Truyen Nguyen
2020	J	`jnl`	Tabular Transformers for Modeling Multivariate Time Series. CoRR Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020	A*	`conf`	Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. ICLR Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
2020	A*	`conf`	Unbalanced Sobolev Descent. NeurIPS Youssef Mroueh, Mattia Rigotti
2020	J	`jnl`	Unbalanced Sobolev Descent. CoRR Youssef Mroueh, Mattia Rigotti
2020	A	`conf`	Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. AISTATS David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
2020	A	`conf`	Wasserstein Style Transfer. AISTATS Youssef Mroueh
2019	A*	`conf`	Adversarial Semantic Alignment for Improved Image Captions. CVPR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019	J	`jnl`	Decentralized Parallel Algorithm for Training Generative Adversarial Nets. CoRR Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das
2019	A	`conf`	Implicit Kernel Learning. AISTATS Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019	J	`jnl`	Implicit Kernel Learning. CoRR Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019	—	`conf`	Improved Adversarial Image Captioning. DGS@ICLR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2019	A*	`conf`	Learning Implicit Generative Models by Matching Perceptual Features. ICCV Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019	J	`jnl`	Learning Implicit Generative Models by Matching Perceptual Features. CoRR Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019	A	`conf`	Sobolev Descent. AISTATS Youssef Mroueh, Tom Sercu, Anant Raj
2019	A*	`conf`	Sobolev Independence Criterion. NeurIPS Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2019	J	`jnl`	Sobolev Independence Criterion. CoRR Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2019	J	`jnl`	Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. CoRR Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
2019	J	`jnl`	Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. CoRR David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
2019	—	`conf`	Wasserstein Barycenter Model Ensembling. ICLR (Poster) Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2019	J	`jnl`	Wasserstein Barycenter Model Ensembling. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
2019	J	`jnl`	Wasserstein Style Transfer. CoRR Youssef Mroueh
2018	J	`jnl`	Improved Image Captioning with Adversarial Semantic Alignment. CoRR Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
2018	J	`jnl`	Regularized Finite Dimensional Kernel Sobolev Discrepancy. CoRR Youssef Mroueh
2018	J	`jnl`	Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. CoRR Youssef Mroueh, Tom Sercu, Anant Raj
2018	—	`conf`	Sobolev GAN. ICLR (Poster) Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
2017	—	`ch.`	Audio and visual modality combination in speech processing applications. The Handbook of Multimodal-Multisensor Interfaces, Volume 1 (1) Gerasimos Potamianos, Etienne Marcheret, Youssef Mroueh, Vaibhava Goel, Alexandros Koumbaroulis, Argyrios Vartholomaios, Spyridon Thermos
2017	A	`conf`	Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2017	—	`conf`	Exploring ROI size in deep learning based lipreading. AVSP Alexandros Koumparoulis, Gerasimos Potamianos, Youssef Mroueh, Steven J. Rennie
2017	—	`conf`	Fisher GAN. NIPS Youssef Mroueh, Tom Sercu
2017	J	`jnl`	Fisher GAN. CoRR Youssef Mroueh, Tom Sercu
2017	A	`conf`	Local Group Invariant Representations via Orbit Embeddings. AISTATS Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf
2017	A*	`conf`	McGan: Mean and Covariance Feature Matching GAN. ICML Youssef Mroueh, Tom Sercu, Vaibhava Goel
2017	J	`jnl`	McGan: Mean and Covariance Feature Matching GAN. CoRR Youssef Mroueh, Tom Sercu, Vaibhava Goel
2017	A*	`conf`	Self-Critical Sequence Training for Image Captioning. CVPR Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
2017	J	`jnl`	Semi-Supervised Learning with IPM-based GANs: an Empirical Study. CoRR Tom Sercu, Youssef Mroueh
2017	J	`jnl`	Sobolev GAN. CoRR Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
2016	J	`jnl`	Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2016	J	`jnl`	Local Group Invariant Representations via Orbit Embeddings. CoRR Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf
2016	J	`jnl`	Self-critical Sequence Training for Image Captioning. CoRR Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
2015	A*	`conf`	Convex Learning of Multiple Tasks and their Structure. ICML Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Convex Learning of Multiple Tasks and their Structure. CoRR Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	Misc	`conf`	Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	—	`—`	From bits to information: learning meets compressive sensing. Youssef Mroueh
2015	—	`conf`	Learning with Group Invariant Features: A Kernel Perspective. NIPS Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio
2015	J	`jnl`	Learning with Group Invariant Features: A Kernel Perspective. CoRR Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio
2015	J	`jnl`	Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
2015	J	`jnl`	Random Maxout Features. CoRR Youssef Mroueh, Steven J. Rennie, Vaibhava Goel
2014	B	`conf`	On efficiency and low sample complexity in phase retrieval. ISIT Youssef Mroueh, Lorenzo Rosasco
2014	J	`jnl`	Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns. CoRR Youssef Mroueh
2013	J	`jnl`	Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? CoRR Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso A. Poggio
2013	J	`jnl`	Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. CoRR Youssef Mroueh, Lorenzo Rosasco
2013	J	`jnl`	q-ary Compressive Sensing CoRR Youssef Mroueh, Lorenzo Rosasco
2012	J	`jnl`	Multiclass Learning with Simplex Coding CoRR Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine
2012	—	`conf`	Multiclass Learning with Simplex Coding. NIPS Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine