Schedule

Monday 21st July

Time

Event

8:15

Registration opens

Foyer

9:00-10:30

Tutorial 1: Hyperparameter Optimization and Algorithm Selection: Practical Techniques, Theory, and New Frontiers

Speaker: Dravyansh Sharma [slides]

Room Copacabana A

Tutorial 2: Counterfactuals in Minds and Machines

Speaker: Stratis Tsirtsis [slides]

Room Copacabana B

10:30-11:00

Coffee Break

Foyer

11:00-12:00

Tutorial 1: Hyperparameter Optimization and Algorithm Selection: Practical Techniques, Theory, and New Frontiers (continuation)

Room Copacabana A

Tutorial 2: Counterfactuals in Minds and Machines (continuation)

Room Copacabana B

Mentoring Panel: Navigating Career Challenges in Machine Learning Research

Moderators: Eli Carrami, Isabela Albuquerque (virtual)

Panelists: Cassio Campos, Sabina Sloman, Yingzhen Li

Room Bossa (3rd floor)

12:00-14:00

Lunch on your own

14:00-15:30

Tutorial 3: Introduction to Bayesian Nonparametric Methods for Causal Inference

Speakers: Michael Daniels and Jason Roy [slides]

Room Copacabana A

Tutorial 4: Causal Inference with Deep Learning and Generative Models

Speakers: Murat Kocaoglu and Md Musfiqur Rahman [slides]

Room Copacabana B

Tutorial 5: Modern Approximate Inference: Variational Methods and Beyond

Speakers: Diana Cai and Yingzhen Li [slides]

Room Bossa (3rd floor)

15:30-16:00

Coffee Break

Foyer

16:00-18:30

Tutorial 3: Introduction to Bayesian Nonparametric Methods for Causal Inference (continuation)

Room Copacabana A

Tutorial 4: Causal Inference with Deep Learning and Generative Models (continuation)

Room Copacabana B

Tutorial 5: Modern Approximate Inference: Variational Methods and Beyond (continuation)

Room Bossa (3rd floor)

19:00- 20:30

Reception

Foyer

Tuesday 22nd July

All of the main session events are in rooms Copacabana A+B.

Time

Event

8:15

Registration opens

Foyer

9:00-10:00

Keynote: Francesca Dominici

Uncertainty in AI: Solution or Obstacle for Climate Action? [slides]

10:00-10:30

Coffee Break

Foyer

10:30-12:00

Oral Session 1: Learning

Session chair: Denis Deratani Mauá

10:30

Proximal Interacting Particle Langevin Algorithms (741) [slides]

10:50

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals (399) [slides]

11:10

A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction (486) [slides]

11:30

Aggregating Data for Optimal Learning (721) [slides]

12:00-14:00

Lunch on your own

14:00-15:00

Oral Session 2: Uncertainty

Session chair: Fabio Gagliardi Cozman

14:00

Truthful Elicitation of Imprecise Forecasts (176) [slides]

14:20

Epistemic Uncertainty in Conformal Scores: A Unified Approach (464) [slides]

14:40

Learning with Confidence (837) [slides]

15:00-15:30

Setup posters

Foyer, Room Copacabana A, Room Mar Azul

15:30-16:00

Coffee Break

Foyer

16:00-18:30

Poster Session 1 (hybrid)

In-person (Foyer, Room Copacabana A, Room Mar Azul):

5, 11, 123, 127, 176, 181, 194, 258, 277, 279, 282, 388,  390, 399, 420, 436, 437, 445, 464, 482, 486, 493, 516, 534, 540, 602, 618, 651, 717, 721, 736, 741, 752, 799, 801, 819, 830, 837, 842, 844

Virtual poster session (gather.town):

3, 15, 33, 40, 47, 63, 73, 109, 112, 175, 180, 213, 221, 246, 265, 273, 274, 298, 302, 309, 311, 317, 337, 345, 356, 358, 365, 393, 414, 423, 477, 483, 552, 615, 616, 621, 676, 719, 720, 758, 763, 773, 790, 818, 820

Wednesday 23rd July

All of the main session events are in rooms Copacabana A+B.

Time

Event

8:15

Registration opens

Foyer

9:00-10:00

Keynote: Elias Bareinboim

Towards Causal Artificial Intelligence

10:00-10:30

Coffee Break

Foyer

10:30-12:00

Oral Session 3: Causality

Session chair: Negar Kiyavash

10:30

Enumerating Optimal Cost-Constrained Adjustment Sets (296) [slides]

10:50

$\sigma$-Maximal Ancestral Graphs (366) [slides]

11:10

Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge (777) [slides]

11:30

Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms (virtual, 302) [slides]

12:00-14:00

Lunch on your own

14:00-15:00

Oral Session 4: Safety

Session chair: Murat Kocaoglu

14:00

Targeted Learning for Variable Importance (348) [slides]

14:20

Just Trial Once: Ongoing Causal Validation of Machine Learning Models (543) [slides]

14:40

Probabilistic Explanations for Regression Models (350) [slides]

15:00-15:30

Setup posters

Foyer, Room Copacabana A, Room Mar Azul

15:30-16:00

Coffee Break

Foyer

16:00-18:30

Poster Session 2 (in-person in Foyer, Room Copacabana A, Room Mar Azul):

23, 76, 78, 105, 113, 146, 202, 244, 245, 271, 287, 290, 296, 297, 313, 342, 348, 350, 351, 361, 366, 374, 384, 387, 389, 391, 397, 406, 418, 432, 467, 469, 487, 488, 495, 501, 511, 512, 514, 515, 543, 544, 590, 633, 635, 664, 672, 679, 711, 734, 742, 754, 777, 779, 780, 798, 803, 836

19:00-22:00

Banquet

Bossa Cafe' (3rd floor)

Thursday 24th July

All of the main session events are in rooms Copacabana A+B.

Time

Event

8:15

Registration opens

Foyer

9:00-10:00

Townhall and Best Papers Awards

10:00-10:30

Coffee Break

Foyer

10:30-12:00

Oral Session 5: Optimization

Session Chair: Cassio de Campos

10:30

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization (128)

10:50

Correlated Quantization for Faster Nonconvex Distributed Optimization (143)

11:10

A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs (703)

11:40

Stein Variational Evolution Strategies (740)

12:00-14:20

Lunch on your own

14:20-15:00

Oral Session 6: Robustness

Session Chair: Yingzhen Li

14:20

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls (542)

14:40

Evasion Attacks Against Bayesian Predictive Models (546)

15:00-15:30

Setup posters

Foyer, Room Copacabana A, Room Mar Azul

15:30-16:00

Coffee Break

Foyer

16:00-18:30

Poster Session 3 (hybrid)

In-person (Foyer, Room Copacabana A, Room Mar Azul):

10, 61, 115, 128, 143, 147, 205, 237, 252, 262, 293, 308, 312, 325, 382, 403, 415, 419, 470, 490, 507, 523, 529, 542, 546, 557, 612, 668, 674, 700, 703, 713, 740, 755, 782, 786, 807, 811, 827, 831

Virtual poster session (gather.town):

13, 27, 53, 99, 129, 131, 141, 144, 155, 162, 166, 193, 226, 235, 259, 261, 264, 269, 275, 289, 299, 326, 327, 333, 341, 362, 386, 398, 449, 517, 554, 573, 576, 595, 619, 628, 630, 634, 657, 662, 687, 718, 724, 725, 832

Friday 25th July

Time

Event

8:15

Registration opens

Foyer

9:00-10:30

The 8th Workshop on Tractable Probabilistic Modeling: From Logic to Probabilities and Back

Room Copacabana A

Causal Abstractions and Representations Workshop

Room Copacabana B

1st Workshop on Safe AI

Room Bossa (3rd floor)

10:30-11:00

Coffee Break

Foyer

11:00-12:00

The 8th Workshop on Tractable Probabilistic Modeling: From Logic to Probabilities and Back

Room Copacabana A

Causal Abstractions and Representations Workshop

Room Copacabana B

1st Workshop on Safe AI

Room Bossa (3rd floor)

12:00-14:00

Lunch on your own

14:00-15:30

The 8th Workshop on Tractable Probabilistic Modeling: From Logic to Probabilities and Back

Room Copacabana A

Causal Abstractions and Representations Workshop

Room Copacabana B

1st Workshop on Safe AI

Room Bossa (3rd floor)

10:30-11:00

Coffee Break

Foyer

16:00-18:30

The 8th Workshop on Tractable Probabilistic Modeling: From Logic to Probabilities and Back

Room Copacabana A

Causal Abstractions and Representations Workshop

Room Copacabana B


Last updated: July 14, 2025 16:33 (UTC)


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