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Neurips@Paris 2021 - Schedule
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AMPHI 25AMPHI Durand
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9:15-10:45 Deep Learning - Optimization9:15-10:50 Reinforcement Learning - Theory of deep learning and Optimal Transport
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TimeTitleLink to NeurIPS paperTimeTitleLink to NeurIPS paper
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9:15-9:20Introduction9:15-9:20Introduction
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9:20-9:25Presentation of WiMLDS by Marie Sacksick9:20-9:35SpotlightStochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret, Jean Tarbouriech, Runlong Zhou, Simon Du, Matteo Pirotta, Michal Valko, Alessandro LazaricLink
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9:25-9:40SpotlightWhat's a good imputation to predict with missing values?, Marine Le Morvan, Julie Josse, Erwan Scornet, Gael VaroquauxLink9:35-9:50SpotlightDecentralized Learning in Online Queuing Systems, Flore Sentenac, Etienne Boursier, Vianney PerchetLink
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9:40-10:10Short poster presentationsRED: Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks, Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin BaillyLink9:50-10:10Short poster presentationsDealing With Misspecification In Fixed-Confidence Linear Top-m Identification, Clémence Réda, Andrea Tirinzoni, Rémy DegenneLink
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Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis, Thomas Fel, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas SerreLinkThere is no Turning Back: A Self-Supervised Approach for Reversibility-Aware RL, Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu GeistLink
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Numerical influence of ReLU’(0) on backpropagation, David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard PauwelsLinkNavigating to the Best Policy in Markov Decision Processes, Aymen Al Marjani, Aurélien Garivier, Alexandre ProutiereLink
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Photonic Differential Privacy with Direct Feedback Alignment, Ruben Ohana, Hamlet Medina, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain RakotomamonjyLinkFrom Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits, Dorian Baudry, Patrick Saux, Odalric-Ambrym MaillardLink
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Efficient and Accurate Gradients for Neural SDEs, Patrick Kidger, James Foster, Xuechen (Chen) Li, Terry LyonsLinkHierarchical Skills for Efficient Exploration, Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas UsunierLink
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LEADS: Learning Dynamical Systems that Generalize Across Environments, Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick GallinariLinkLearning Collective Action under Risk Diversity, Ramona Merhej, Fernando Santos, Francisco Melo, Mohamed Chetouani, Francisco SantosLink
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Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution, Camille Garcin, Alexis Joly, Pierre Bonnet, Jean-Christophe Lombardo, Antoine Affouard, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph SalmonLink10:10-10:15Presentation of WiMLDS by Marie Sacksick
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DLA-Ranker: Evaluating protein docking conformations with many locally oriented cubes, Yasser Mohseni Behbahani, Élodie Laine, Alessandra Carbone10:15-10:30OralFraming RNN as a kernel method: A neural ODE approach, Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard BiauLink
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10:10-10:25OralA Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip, Mathieu Even, Raphaël Berthier, Francis Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien TaylorLink10:30-10:55Short poster presentationsA PAC-Bayes Analysis of Adversarial Robustness, Paul Viallard, Eric Guillaume Vidot, Amaury Habrard, Emilie MorvantLink
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10:25-10:40SpotlightBeyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization, Gaspard Beugnot, Julien Mairal, Alessandro Rudi LinkLearning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound, Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin GuedjLink
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10:40-10:55Short poster presentationsRethinking the Variational Interpretation of Accelerated Optimization Methods, Peiyuan Zhang, Antonio Orvieto, Hadi DaneshmandLinkHNPE: Leveraging Global Parameters for Neural Posterior Estimation, Pedro Luiz Coelho Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre GramfortLink
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On the Second-order Convergence Properties of Random Search Methods, Aurelien Lucchi, Antonio Orvieto, Adamos SolomouLinkUnbalanced Optimal Transport through Non-negative Penalized Linear Regression, Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles GassoLink
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Nonsmooth Implicit Differentiation for Machine Learning and Optimization, Jérôme Bolte, Tam Le, Edouard Pauwels, Tony Silveti-FallsLinkThe Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation, Thibault Sejourne, Francois-Xavier Vialard, Gabriel PeyréLink
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Large-Scale Unsupervised Object Discovery, Van Huy Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean PonceLinkFast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections, Kimia Nadjahi, Alain Durmus, Pierre E Jacob, Roland Badeau, Umut SimsekliLink
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Non-asymptotic convergence bounds for Wasserstein approximation using point clouds, Quentin Mérigot, Filippo Santambrogio, Clément SarrazinLink
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10:55-11:25 Coffee break (Patio)10:55-11:25 Coffee break (SCAI)
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11:25-12:35 Generative Networks - Online Learning 11:25-12:35 Geometry and Structured Data - Theory of Machine Learning
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TimeTitleLink to NeurIPS paperTimeTitleLink to NeurIPS paper
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11:25-11:40SpotlightInstance-Conditioned GAN, Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero SorianoLink11:25-11:40SpotlightImproved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces, Vincent Cohen-Addad, David Saulpic, Chris SchwiegelshohnLink
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11:40-11:50Short poster presentationsTo Beam Or Not To Beam: That is a Question of Cooperation for Language GANs, Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin PiwowarskiLink11:40-11:50Short poster presentationsDisentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA, Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo HyvarinenLink
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PSD representations for Effective probability models, Alessandro Rudi, Carlo CilibertoLinkNEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform, Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X RobertLink
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PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding, Antoine ChaffinThe Two-sample Problem in High Dimension: A Ranking-based Method, Myrto Limnios, Stephan Clémençon, Nicolas Vayatis
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11:50-12:05SpotlightOnline Sign Identification: Minimization of the Number of Errors in Thresholding Bandits, Reda None Ouhamma, Rémy Degenne, Vianney Perchet, Pierre GaillardLinkReverse complement equivariant networks for DNA sequences, Vincent Mallet, Jean-Philippe VertLink
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12:05-12:20SpotlightA Unified Approach to Fair Online Learning via Blackwell Approachability, Evgenii Chzhen, Christophe Giraud, Gilles StoltzLinkShared Independent Component Analysis for Multi-Subject Neuroimaging, Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo HyvarinenLink
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12:20-12:35Short poster presentationsOnline Learning and Control of Dynamical Systems from Sensory Input, Oumayma Bounou, Jean Ponce, Justin CarpentierLink11:50-12:05SpotlightLearning Gaussian Mixtures with Generalized Linear Models : Precise Asymptotics in High-dimensions, Bruno Loureiro, Gabriele Sicuro, Cedric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka ZdeborováLink
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Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge, Reda None Ouhamma, Odalric-Ambrym Maillard, Vianney PerchetLink12:05-12:20SpotlightFoundations of Symbolic Languages for Model Interpretability, Marcelo Arenas, Daniel Báez, Pablo Barceló, Jorge Pérez, Bernardo SubercaseauxLink
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Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm, Nathan Noiry, Vianney Perchet, Flore SentenacLink12:20-12:35Short poster presentationsLearning curves of generic features maps for realistic datasets with a teacher-student model, Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka ZdeborováLink
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Fast rates for prediction with limited expert advice, El Mehdi Saad, Gilles BlanchardLinkFederated Multi-Task Learning under a Mixture of Distributions, Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard VidalLink
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Two-sided fairness in rankings via Lorenz dominance, Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas UsunierLink
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Robust and Decomposable Average Precision for Image Retrieval, Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier BitotLink
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12:35 - 14:00 Lunch (not provided)
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14:00 - 15:30 Poster session (SCAI)
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15:30 - 16:30 Mentoring round tables (SCAI)
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