Moïse Blanchard

34 papers A* 9B 2Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness.
CoRR
Moïse Blanchard, Abhishek Shetty, Alexander Rakhlin
2026 J jnl
Distribution-Free Sequential Prediction with Abstentions.
CoRR
Jialin Yu, Moïse Blanchard
2025 A* conf
Agnostic Smoothed Online Learning.
STOC
Moïse Blanchard
2025 J jnl
Collaborative Min-Max Regret in Grouped Multi-Armed Bandits.
CoRR
Moïse Blanchard, Vineet Goyal
2025 J jnl
Distributionally-Constrained Adversaries in Online Learning.
CoRR
Moïse Blanchard, Samory Kpotufe
2025 J jnl
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms.
CoRR
Noah Krever, Jakub Cerný, Moïse Blanchard, Christian Kroer
2025 A* conf
Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract).
COLT
Yan Dai, Moïse Blanchard, Patrick Jaillet
2025 J jnl
Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely.
CoRR
Yan Dai, Moïse Blanchard, Patrick Jaillet
2025 J jnl
Quadratic Memory Is Necessary for Optimal Query Complexity in Convex Optimization: Center of Mass Is Pareto Optimal.
Math. Oper. Res.
Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2024 J jnl
Agnostic Smoothed Online Learning.
CoRR
Moïse Blanchard
2024 A* conf
Correlated Binomial Process.
COLT
Moïse Blanchard, Doron Cohen, Aryeh Kontorovich
2024 A* conf
Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems.
FOCS
Moïse Blanchard
2024 J jnl
Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems.
CoRR
Moïse Blanchard
2024 J jnl
Near-Optimal Mechanisms for Resource Allocation Without Monetary Transfers.
CoRR
Moïse Blanchard, Patrick Jaillet
2024 J jnl
Probabilistic Bounds on the
Math. Oper. Res.
Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2024 B conf
Tight Bounds for Local Glivenko-Cantelli.
ALT
Moïse Blanchard, Václav Vorácek
2023 J jnl
Contextual Bandits and Optimistically Universal Learning.
CoRR
Moïse Blanchard, Steve Hanneke, Patrick Jaillet
2023 J jnl
Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes.
CoRR
Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023 A* conf
Memory-Constrained Algorithms for Convex Optimization.
NeurIPS
Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023 J jnl
Non-stationary Contextual Bandits and Universal Learning.
CoRR
Moïse Blanchard, Steve Hanneke, Patrick Jaillet
2023 A* conf
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal.
COLT
Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023 J jnl
Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal.
CoRR
Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2022 J jnl
Additional Results and Extensions for the paper "Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem".
CoRR
Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2022 J jnl
Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem.
CoRR
Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2022 A* conf
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions.
ICLR
Moïse Blanchard, Mohammed Amine Bennouna
2022 A* conf
Universal Online Learning with Bounded Loss: Reduction to Binary Classification.
COLT
Moïse Blanchard, Romain Cosson
2022 B conf
Universal Online Learning with Unbounded Losses: Memory Is All You Need.
ALT
Moïse Blanchard, Romain Cosson, Steve Hanneke
2022 J jnl
Universal Online Learning with Unbounded Losses: Memory Is All You Need.
CoRR
Moïse Blanchard, Romain Cosson, Steve Hanneke
2022 A* conf
Universal Online Learning: an Optimistically Universal Learning Rule.
COLT
Moïse Blanchard
2022 J jnl
Universal Online Learning: an Optimistically Universal Learning Rule.
CoRR
Moïse Blanchard
2022 J jnl
Universal Regression with Adversarial Responses.
CoRR
Moïse Blanchard, Patrick Jaillet
2021 J jnl
On the Length of Monotone Paths in Polyhedra.
SIAM J. Discret. Math.
Moïse Blanchard, Jesús A. De Loera, Quentin Louveaux
2021 J jnl
Universal Online Learning with Bounded Loss: Reduction to Binary Classification.
CoRR
Moïse Blanchard, Romain Cosson
2020 J jnl
The Representation Power of Neural Networks: Breaking the Curse of Dimensionality.
CoRR
Moïse Blanchard, M. Amine Bennouna