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Showing papers from Politecnico di Milano Show all papers

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Constrained MDPs with Trajectory Constraints

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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medium 0/10
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45%Niche pick
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Worst-Case Regret Bounds for Combinatorial Bandits with Ranking Feedback

Cristiano Migali, Gianmarco Genalti, Alberto Maria Metelli, Marco Mussi

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
72%Highly rated
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Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting

Multi-variable conformal prediction extends calibration to vector-valued scores with multiple variables, removing data splitting while preserving coverage and yielding smaller, more stable prediction sets.

Laura Lützow, Simone Garatti, Marco Campi, Lars Lindemann and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5
71%Highly rated
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A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures

A Schur-decomposition-based projection ensures asymptotic stability in state-space neural networks with minimal overparameterization, matching state-of-the-art accuracy and convergence.

Sergio Mauricio Vanegas Arias, Lasse Lensu, Fredy Ruiz

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 0/5
70%Highly rated
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Selling Information While Being an Interested Party

The paper studies an interested seller algorithmically selling information to budget-constrained buyers to maximize revenue and induce desirable actions, proving optimal menu protocols are polynomial-time computable and analyzing single-policy restrictions.

Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 1/5
78%Highly rated
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The Minimax Rate of Second-Order Calibration

Sech perturbation kernels make calibration functions analytic, enabling polynomial regression to estimate second-order calibration error at the minimax optimal rate of tilde O(1/sqrt(n)). This yields the first finite-sample guarantee for second-order Platt scaling and a bucket-free calibration defin

Kamil Ciosek, Banafsheh Rafiee, Sina Ghiassian, Nicolò Felicioni

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 1/5
medium 7/10
strict 3/5
78%Highly rated
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Online Resource Allocation With General Constraints

Online resource allocation with budget and general constraints achieves near-optimal dynamic regret and bounded violations via weakly adaptive Lagrangian analysis.

Eleonora Fidelia Chiefari, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
78%Highly rated
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Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time

A robust binary-search pricing algorithm achieves regret scaling additively with corruption and logarithmically with time, resolving the open decoupling problem.

Kalana K Kalupahana, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 2/5
83%Must read
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No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

NoPo4D is the first feed-forward 4D Gaussian system that reconstructs dynamic scenes from unposed multi-view videos, outperforming baselines and optimization methods at much faster speeds.

Matteo Balice, Yanik Künzi, Chenyangguang Zhang, Matteo Matteucci and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5