| 2026 | COLT | A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak-Ruppert Averaging. | Wei-Cheng Lee, Francesco Orabona |
| 2026 | EACL | Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning. | Sultan AlRashed, Jianghui Wang, Francesco Orabona |
| 2025 | ALT | Self-Directed Node Classification on Graphs. | Georgy Sokolov, Maximilian Thiessen, Margarita Akhmejanova, Fabio Vitale, Francesco Orabona |
| 2025 | COLT | New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition. | El Mehdi Saad, Wei-Cheng Lee, Francesco Orabona |
| 2025 | ICML | A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO. | Xingyu Zhou, Yulian Wu, Francesco Orabona |
| 2025 | ICML | SquareχPO: Differentially Private and Robust χ2-Preference Optimization in Offline Direct Alignment. | Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona |
| 2025 | ICML | ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. | Arto Maranjyan, El Mehdi Saad, Peter Richtrik, Francesco Orabona |
| 2024 | COLT | Better-than-KL PAC-Bayes Bounds. | Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona |
| 2024 | ICLR | Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion. | Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Rtsch, Hadi Daneshmand |
| 2023 | COLT | Tighter PAC-Bayes Bounds Through Coin-Betting. | Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona |
| 2023 | ICML | Generalized Implicit Follow-The-Regularized-Leader. | Keyi Chen, Francesco Orabona |
| 2023 | ICML | Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion. | Ashok Cutkosky, Harsh Mehta, Francesco Orabona |
| 2022 | AAAI | Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting. | Keyi Chen, John Langford, Francesco Orabona |
| 2022 | ALT | Implicit Parameter-free Online Learning with Truncated Linear Models. | Keyi Chen, Ashok Cutkosky, Francesco Orabona |
| 2022 | ALT | On the Last Iterate Convergence of Momentum Methods. | Xiaoyu Li, Mingrui Liu, Francesco Orabona |
| 2022 | ALT | On the Initialization for Convex-Concave Min-max Problems. | Mingrui Liu, Francesco Orabona |
| 2021 | ICML | Online Learning with Optimism and Delay. | Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey |
| 2021 | ICML | A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance. | Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona |
| 2019 | AISTATS | On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes. | Xiaoyu Li, Francesco Orabona |
| 2019 | COLT | Parameter-Free Online Convex Optimization with Sub-Exponential Noise. | Kwang-Sung Jun, Francesco Orabona |
| 2019 | ICML | Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization. | Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona |
| 2018 | COLT | Black-Box Reductions for Parameter-free Online Learning in Banach Spaces. | Ashok Cutkosky, Francesco Orabona |
| 2017 | AISTATS | Improved Strongly Adaptive Online Learning using Coin Betting. | Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett |
| 2017 | ICML | Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. | Alina Beygelzimer, Francesco Orabona, Chicheng Zhang |
| 2016 | COLT | Open Problem: Parameter-Free and Scale-Free Online Algorithms. | Francesco Orabona, Dvid Pl |
| 2016 | ICML | Solving Ridge Regression using Sketched Preconditioned SVRG. | Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz |
| 2016 | ICML | Parameter-Free Convex Learning through Coin Betting. | Francesco Orabona, Dvid Pl |
| 2015 | ALT | Scale-Free Algorithms for Online Linear Optimization. | Francesco Orabona, Dvid Pl |
| 2015 | ICDM | The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams. | Rocco De Rosa, Francesco Orabona, Nicol Cesa-Bianchi |
| 2015 | ICIAP | Transfer Learning Through Greedy Subset Selection. | Ilja Kuzborskij, Francesco Orabona, Barbara Caputo |
| 2014 | COLT | Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations. | H. Brendan McMahan, Francesco Orabona |
| 2014 | ICML | On Measure Concentration of Random Maximum A-Posteriori Perturbations. | Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola |
| 2013 | ACML | Multiclass Latent Locally Linear Support Vector Machines. | Marco Fornoni, Barbara Caputo, Francesco Orabona |
| 2013 | CVPR | From N to N+1: Multiclass Transfer Incremental Learning. | Ilja Kuzborskij, Francesco Orabona, Barbara Caputo |
| 2013 | ICML | Stability and Hypothesis Transfer Learning. | Ilja Kuzborskij, Francesco Orabona |
| 2012 | BMVC | Leveraging over prior knowledge for online learning of visual categories. | Tatiana Tommasi, Francesco Orabona, Mohsen Kaboli, Barbara Caputo |
| 2011 | ICML | Better Algorithms for Selective Sampling. | Francesco Orabona, Nicol Cesa-Bianchi |
| 2011 | ICML | Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning. | Francesco Orabona, Jie Luo |
| 2010 | CVPR | OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie. | Francesco Orabona, Marco Fornoni, Barbara Caputo, Nicol Cesa-Bianchi |
| 2010 | CVPR | Online-batch strongly convex Multi Kernel Learning. | Francesco Orabona, Jie Luo, Barbara Caputo |
| 2010 | CVPR | Safety in numbers: Learning categories from few examples with multi model knowledge transfer. | Tatiana Tommasi, Francesco Orabona, Barbara Caputo |
| 2009 | ACCV | An Online Framework for Learning Novel Concepts over Multiple Cues. | Jie Luo, Francesco Orabona, Barbara Caputo |
| 2009 | ICML | Robust bounds for classification via selective sampling. | Nicol Cesa-Bianchi, Claudio Gentile, Francesco Orabona |
| 2009 | ICRA | Model adaptation with least-squares SVM for adaptive hand prosthetics. | Francesco Orabona, Claudio Castellini, Barbara Caputo, Angelo Emanuele Fiorilla, Giulio Sandini |
| 2009 | IROS | You live, you learn, you forget: Continuous learning of visual places with a forgetting mechanism. | Muhammad Muneeb Ullah, Francesco Orabona, Barbara Caputo |
| 2008 | ECCV | Calibration from Statistical Properties of the Visual World. | Etienne Grossmann, Jos Antnio Gaspar, Francesco Orabona |
| 2008 | ICML | The projectron: a bounded kernel-based Perceptron. | Francesco Orabona, Joseph Keshet, Barbara Caputo |
| 2007 | BMVC | Indoor Place Recognition using Online Independent Support Vector Machines. | Francesco Orabona, Claudio Castellini |
| 2007 | ICCV | Discrete camera calibration from the information distance between pixel streams. | Etienne Grossmann, Francesco Orabona, Jos Antnio Gaspar |
| 2006 | CVPR | Learning Association Fields from Natural Images. | Francesco Orabona, Giorgio Metta, Giulio Sandini |
| 2005 | CVPR | Object-based Visual Attention: a Model for a Behaving Robot. | Francesco Orabona, Giorgio Metta, Giulio Sandini |