Gaillard, Pierre
- Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
2020/06/15 by Raphaël Berthier, Berthier, Raphaël, Francis Bach +3 · 3 citations
Mathematics · Engineering · Computer Science · #Statistical Methods and Inference #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
2021/06/10 by Even, Mathieu, Berthier, Raphaël, Bach, Francis +5 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Probability (math.PR)
- Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations
2018/05/22 by Raphaël Berthier, Berthier, Raphaël, Francis Bach +3 · 2 citations
Computer Science · Physics and Astronomy · #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Neural Networks Stability and Synchronization #Opinion Dynamics and Social Influence #Parallel #and Cluster Computing (cs.DC)
- A Second-order Bound with Excess Losses
2014/02/10 by Gaillard, Pierre, Stoltz, Gilles, Van Erven, Tim · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Efficient online algorithms for fast-rate regret bounds under sparsity
2018/05/23 by Pierre Gaillard, Gaillard, Pierre, Wintenberger, Olivier · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Risk and Portfolio Optimization #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- A Chaining Algorithm for Online Nonparametric Regression
2015/02/26 by Pierre Gaillard, Sébastien Gerchinovitz, Gaillard, Pierre +1 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Reinforcement Learning in Robotics
- Sequential Counterfactual Risk Minimization
2023/02/23 by Houssam Zenati, Eustache Diemert, Zenati, Houssam +7 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
- Structured Prediction in Online Learning
2024/06/18 by Boudart, Pierre, Rudi, Alessandro, Gaillard, Pierre · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Efficient and Near-Optimal Online Portfolio Selection
2022/09/28 by Jézéquel, Rémi, Ostrovskii, Dmitrii M., Gaillard, Pierre · 1 citation
#46N10 #62L12 #90B99 #90C25 #90C51 #90C53 #91G10 #94A15 #94D99 #Computational Finance (q-fin.CP) #E.4 #FOS: Economics and business #FOS: Mathematics #G.3 #I.2.6 #Optimization and Control (math.OC) #Portfolio Management (q-fin.PM)
- Counterfactual Learning of Stochastic Policies with Continuous Actions
2020/04/22 by Houssam Zenati, Alberto Bietti, Zenati, Houssam +9 · 1 citation
Computer Science · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML)